CURRICULUM VITAE - ΑΠΘ · Christos Mademlis / Curriculum Vitae May 2013 Page 3/37 Name: Christos...

CHRISTOS A. MADEMLIS

ELECTRICAL ENGINEER, Ph. D.

SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING FACULTY OF ENGINEERING

ARISTOTLE UNIVERSITY OF THESSALONIKI

CCUURRRRIICCUULLUUMM VVIITTAAEE

THESSALONIKI, GREECE

MAY 2013

Christos Mademlis / Curriculum Vitae May 2013 /37


Name: Christos A. Mademlis Date of birth: 7 February 1964 Place of birth: Arnea Chalkidikis, Greece Nationality: Greek Marital status: Married with two children (21 and 11 years old) Home address: Ioannou Kaisarias 8, Thessaloniki, 54 453, Greece. Tel. 0030 2310 942 909 Home address: Department of Electrical and Computer Engineering, School of Polytechnics, Aristotle University of Thessaloniki, 54 124, Greece. Tel. 0030 2310 996 234, email: [email protected]

1. EDUCATION

1981-1987 Diploma and MSc Degree, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle

University of Thessaloniki, Greece. Grade 9.0/10.0, High Distinction. Diploma Thesis: “Speed Control of a DC Motor using Phase Locked Loop Method by

Means of a Microprocessor ”.

1994-1997 Ph. D. Degree in Electric Machines, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle

University of Thessaloniki, Greece. Grade A, High Distinction Dissertation: “Loss Minimization in Synchronous Motor Drives and Study of their

Operational and Thermal Performance”.

2000-2001 Sabbatical leave, Scottish Power Electronics and Electric Drives Laboratory (SPEED), University of

Glasgow, Glasgow, UK. “Study and Optimal Design of Switched Reluctance and Synchronous Permanent Magnet Motor Drives” with Prof. T.J.E. Miller.

2 PROFESSIONAL EXPERIENCE

1989 Production and maintenance engineer, IKOTON-Textile, Thermi-Harilaou, Thessa-loniki, Greece.

1990 Installation and Customer training of local computer networks using Novell, Data-Com North, Thessalonliki, Greece.

1991-2001 Technical assistant, Electrical Machines Laboratory, School of Electrical and Com-puter Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, Greece.

2002-2006 Lecturer, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, Greece, Aristotle University of Thessaloniki, Greece. Field of Expertise: “Electric machines”.

2007-2009 Assistant Professor, School of Electrical and Computer Engineering, Faculty of En-gineering, Aristotle University of Thessaloniki, Greece. Field of Expertise: “Electric machines”.

2010 – present Assistant Professor (tenure position), School of Electrical and Computer Engineer-ing, Faculty of Engineering, Aristotle University of Thessaloniki, Greece. Field of Expertise: “Electric machines”.


3 TEACHING EXPERIECE

3.1 Undergraduate courses

1995 - 1996 ‘Electric Machines IV’ (Synchronous machines), 9th Semester: Tutorials.

1999 ‘Electric Machines I’, (DC-Electric machines), 5th Semester: Tutorials, ‘Electric Machines II’, (Transformers), 6th Semester: Tutorials, ‘Electric Machines III’, (Induction machines), 7th Semester: Tutorials.

2000 ‘Power Electronics II’ (DC-DC converters and electric motor drives), 8th Semester: Lectures,

‘Electric Machines III’, (Induction machines), 8th Semester: Tutorials.

2002 – present ‘Electric Machines A’ (Transformers and DC-Electric machines), 7th Semester: Lec-tures and Tutorials,

‘Electric Machines B’ (Induction machines), 8th Semester: Lectures and Tutorials,

2008 - present ‘Servomotor System Drives’ (New course in the Department’s Curriculum), 9th Se-mester: Lectures and Tutorials,.

3.2 Laboratory tutorials

1991-1999 & 2001 Laboratory tutorials in my capacity as Technical Assistant: ‘Electric Machines Ι’, ‘Electric Machines III’ and ‘Electric machines IV’.

2002 – present Laboratory tutorials in my capacity as Lecturer: ‘Electric Machines A’ and ‘Electric Machines B’.

2008 – present Laboratory tutorials in my capacity as Assistant Professor: ‘Servomotor System Drives’.

3.3 Diploma Theses

Supervision of 33 Diploma Theses (completed) and 8 are in progress. 3.4 Post-graduate courses

2001 – present ‘Special topics of Electric Machines’. 3.5 Ph.D. Dissertations

Mesemanolis A., ‘Efficiency optimization in wind energy conversion systems over a wide range of wind speeds’, 2010 (in progress)

Karakasisi N., Performance optimization of wind energy systems with doubly-fed induction gen-erators’, 2011 (in progress).

Zampour N., ‘Development of a generic control technique with improved operational character-istics for dc and ac electric machines’, 2013 (in progress).

4. RESEARCH PROGRAMS

1996 - 1998 “New Techniques for Loss Minimization of Synchronous Motors”. PENED’96, Funding Source: Ministry of Education and Religious Affairs Greece (8.000.000

Drx). Responsibility: Researcher.

2000 - 2003 “Switching Frequency Reduction in Pulse-Width Modulated Multilevel Converters and Systems”. Engineering and Physical Sciences Research Council (EPSRC), UK.

Funding Source: Engineering and Physical Sciences Research Council (EPSRC), UK (£ 60.050).


Responsibility: Post-doctoral Researcher.

2005 - 2006 “Performance optimization of Switched Reluctance Machines and design of control boards”, Research Committee of the Alexander Technological and Educational Insti-tute of Thessaloniki.

Funding Source: Ministry of Industry, Energy, and Technology of Greece (5.000 €). Responsibility: Researcher.

2006 - 2008 “Improvements in the Computer Engineering Curriculum at the Department of Elec-trical and Computer Engineering. Action: Virtual laboratory for the design and op-timal control of electric machines”, EPEAEK. Funding Source: Ministry of Industry, Energy, and Technology of Greece (167.000 €).

Responsibility: Researcher.

2007 “Development of advanced parametric models for ΙΜ machines using the OPERA-3d software from Vector Fields Ltd.”.

Funding Source: Company Vector Fields Ltd., UK (3.200 €). Responsibility: Project Leader.

2007 “Development of advanced parametric models for BDC, SRM and PMDC machines using the OPERA-3d software from Vector Fields Ltd.”,

Funding Source: Company Vector Fields Ltd., UK (3.600 €). Responsibility: Project Leader.

2010 “Design and implementation of a measuring and testing system for permanent mag-net synchronous motors”,

Funding Source: Company Kleemann Hellas S.A. (16.420 €) Responsibility: Project Leader.

2010 - 2013 “Design and implementation of an integrated control system for wind turbines which produces increased power through minimization of electric generator losses and ex-tension of the exploitable wind speed region towards the lower wind speeds, S.M.V.A.A.”, Action: Cooperation’2009, NSRF 2007-2013.

Funding Source: European Regional Development Funds and Greek National Re-sources - Ministry of Education, Lifelong Learning and Religious Affairs, Greece (590.330 €).

Partners: Aristotle University of Thessaloniki, Alexander Technological Educa-tion Institute of Thessaloniki and the company Voltampere Energy Ltd.

Responsibilities: Project Leader and Coordinator of the program.

2011 - 2014 “Research and development of energy saving techniques and internet monitoring in order to design and build an energy efficient eco-mechanical lift fully controlled by the remote location via the internet and a KERS system (Kinetic Energy Recovery System) in order to achieve further savings, ΕCO-III”, Action: Cooperation’2009, NSRF 2007-2013.

Funding Source: European Regional Development Funds and Greek National Re-sources - Ministry of Education, Lifelong Learning and Religious Affairs, Greece (575.000 €).

Partners: Aristotle University of Thessaloniki, Alexander Technological Educa-tion Institute of Thessaloniki and the company Doppler S.A..

Responsibility: Project Leader of the partner Aristotle University of Thessaloniki.

2012-2013 “Optimizing closed-loop control systems through neuro-fuzzy logic techniques”, Ac-tion C΄- 2011: ‘Reinforcement of Research Activities in Basic Research’.

Funding Source: Research Committee of the Aristotle University of Thessaloniki, Greece (4.000 €).

Responsibility: Project Leader.


5. ACADEMIC COMMUNITY INVOLVEMENT ACTIVITIES

2002 - present Participation in the General Assemblies of the Department of Electrical Energy and School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.

2002 - present Participation in Electoral Committees and Advisors Committees for academics pro-motion.

2002 - 2006 Responsible for the teaching timetable of the School of Electrical and Computer En-gineering, Faculty of Engineering, Aristotle University of Thessaloniki.

2007 - present Maintenance supervisor for the buildings of the School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.

2008 - present Acting Director of the Laboratory of Electrical Machines, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.

2010 - present Participation in the Electrical Equipment Delivery Commission of the Faculty of En-gineering, Aristotle University of Thessaloniki.

6. SCIENTIFIC ACTIVITIES - AWARDS

6.1 Reviewer of scientific technical journal and conference papers

Journals IEEE Transactions on Energy Conversion (since 2002) IEEE Transactions on Power Delivery (since 2003) IEEE Transactions on Power Delivery (since 2004) IEE Proceedings - Electric Power Applications (since 2005) IEEE Transactions on Industrial Electronics (since 2006) IEEE Transactions on Industry Applications (since 2006) IEEE Transactions on Power Electronics (since (2008) IEEE Power Engineering Letters (since 2008) Electric Power Systems Research (since 2008) IEEE Trans. on Magnetics (since 2013) Conferences IEEE and IET Conferences: PESC (since 2004), APEC (since 2008), IECON (since

2008), ICIT (since 2009), ISIE (since 2008), CEFC (since 2008), Magnetic-MagCon (since 2011), MedPower (since 2008), ICEM (since 2006) and ICTA

6.2 Member of Conference Editorial Boards and International Advisory Committees

UPEC 2003, Thessaloniki, Greece ICEM 2006, Chania, Crete, Greece MedPower 2008, Thessaloniki, Greece MedPower 2010, Agia Napa, Cyprus

6.3 Chairman in Sessions of Technical Conferences

ICEM 2006, Chania, Crete, Greece MedPower 2008, Thessaloniki, Greece MedPower 2010, Agia Napa, Cyprus

6.4 Distinction

From 2011 IEEE Senior Member


7. MEMBER OF PROFESSIONAL AND SCIENTIFIC ASSOCIATIONS

Since 1987, member of the Technical Chamber of Greece.

Since 1987, member of Hellenic Association of Mechanical and Electrical Engineers and Asso-ciation of Electrical Engineers of Northern Greece.

Since 1998, member of Institute of Electrical and Electronics Engineering (IEEE).

8. RESEARCH INTERSTS

My primary research activities are in the areas of

- design and analysis of electric machines,

- power electronic converters,

- design and modeling of electric machine drives,

- loss minimization control for electric machine drives,

- control and design optimization of electric motors and generators, and

- energy conversion systems for renewable sources (wind energy and photovoltaic systems)

9. PUBLICATIONS

9.1 Book

[B-1] “Servomotor System Drives (Induction motors and permanent magnet motor drives)”, Edi-tion Tziolas, 567 pages, Thessaloniki, Greece 2010 (in Greek).

9.2 Lectures Notes

[N-1] “Electric Machines Magnetic Circuits and Electromechanical Energy Conversion”, Notes for the course Electric Machines A΄. Aristotle University of Thessaloniki, 88 pages, Thes-saloniki, Greece 2005 (in Greek).

[N-2] “Single-phase Motors”, Notes for the course Electric Machines B΄. Aristotle University of Thessaloniki, 50 pages, Thessaloniki, Greece 2004 (in Greek).

9.3 Ph.D. Dissertation

[D-1] “Loss Minimization in Synchronous Motors and Study of their Operational and Thermal Performance”. Aristotle University of Thessaloniki, 164 pages, Thessaloniki, Greece, 1997.

9.4 Refereed journal papers

[J-1] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Wound-Field Cylin-drical Rotor Synchronous Motor Drives”. IEEE Trans. on Power Electronics, vol. 13, no. 2, pp. 288 - 296, March 1998.

[J-2] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Surface Permanent Magnet Synchronous Motor Drives”. IEEE Trans. on Industrial Electronics, vol. 47, no. 1, pp. 115-122, Feb. 2000.

[J-3] Mademlis C., Margaris N., and Xypteras J. “Magnetic and Thermal Performance of a Synchronous Motor under Loss Minimization Control”. IEEE Trans. on Energy Conver-sion, vol. 15, no. 2, pp. 135-142, June 2000.

[J-4] Mademlis C. and Agelidis V.G., “On Considering Magnetic Saturation with Maximum Torque to Current Control in Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conversion, vol.16, no. 3, pp. 246-252, Sept. 2001.

-------------------------- Elected as Lecturer -----------------------


[J-5] Agelidis V.G. and Mademlis C., “Technology of Offshore Wind Turbines and Farms and

Novel Multilevel Converter-Based HVDC Systems for their Grid Connections”, Wind En-gineering, vol. 26, no. 6, pp. 383-395, Nov. 2002, (Invited paper).

[J-6] Mademlis C. and Margaris N., “Loss Minimization in Vector Controlled Interior Perma-nent Magnet Synchronous Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 49, no. 6, pp. 1344-1347, Dec. 2002.

[J-7] Mademlis C., “Compensation of Magnetic Saturation in Maximum Torque to Current Vector Controlled Synchronous Reluctance Motor Drives”, IEEE Trans. on Energy Con-version, vol. 18, no. 3, pp. 379-385, Sept. 2003.

[J-8] Kioskeridis I. and Mademlis C., “Energy Efficiency Optimization in Synchronous Reluc-tance Motor Drives”, IEE Proc. – Electric Power Applications, vol. 150, no. 2, pp. 201-209, March 2003.

[J-9] Mademlis C. and Kioskeridis I., “Performance Optimization in Switched Reluctance Mo-tor Drives with On-line Commutation Angle Control”, IEEE Trans. on Energy Conver-sion, vol. 18, no. 3, pp. 448-457, Sept. 2003.

[J-10] Mademlis C., Kioskeridis I., and Margaris N., “Optimal Efficiency Control Strategy for Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conver-sion, vol. 19, no. 4, pp. 715-723, Dec. 2004.

[J-11] Mademlis C., Kioskeridis I., and Theodoulidis T., “Optimization of Single-Phase Induc-tion Motors, Part I: Maximum Energy Efficiency Control”, IEEE Trans. on Energy Con-version, vol. 20, no. 1, pp. 187-195, March 2005.

[J-12] Mademlis C., Theodoulidis T., and Kioskeridis I., “Optimization of Single-Phase Induc-tion Motors, Part II: Magnetic and Torque Performance under Optimal Control”, IEEE Trans. on Energy Conversion, vol. 20, no. 1, pp. 196-203, March 2005.

[J-13] Mademlis C. and Kioskeridis I., “Optimizing Performance in Current Controlled Switched Reluctance Generators”, IEEE Trans. on Energy Conversion, vol. 20, no. 3, pp. 556-565, Sept. 2005.

[J-14] Kioskeridis I. and Mademlis C., “Maximum Efficiency in Single-Pulse Controlled Switched Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 20, no. 4, pp. 809-817, Dec. 2005.

-------------------------- Elected as Assistant Professor -----------------------

[J-15] Kioskeridis I. and Mademlis C., “Optimal Efficiency Control of Switched Reluctance Generators”, IEEE Trans. on Power Electronics, vol. 21, no. 4, pp. 1062-1072, July 2006.

[J-16] Kioskeridis I. and Mademlis C., “A Unified Approach for Four-Quadrant Optimal Con-trolled Switched Reluctance Machine Drives with Smooth Transition between Control Operations”, IEEE Trans. on Power Electronics, vol. 24, no. 1, pp. 301-306, Jan. 2009.

[J-17] Mademlis C. and Kioskeridis I., “Gain Scheduling Regulator for High Performance Posi-tion Control of Switched Reluctance Motor Drives”, IEEE Trans. on Industrial Electron-ics, vol. 57, no. 9, pp. 2922-2931, Sept. 2010.

[J-18] Mesemanolis A., Mademlis C., and Kioskeridis I., “High-Efficiency Control for a Wind Energy Conversion System With Induction Generator”, IEEE Trans. on Energy Conver-sion, 2012, vol. 27, no. 4, pp. 958-967, Dec. 2012.

9.5 Refereed conference papers

[C-1] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Synchronous Motors”, Proceedings of IEEE International Symposium of Industrial Electronics, ISIE’95, vol. 1, pp. 297-302, Athens 1995.

[C-2] Mademlis C., Xypteras J., and Margaris N. “Calculation and Minimization of Synchro-nous Motor Power Losses”, Workshop in Contemporary Problems in Power Engineering,


pp. 153-168, Thessaloniki 1995.

[C-3] Mademlis C., Xypteras J., and Margaris N. “Magnetic and Thermal Analysis of a Wound-Field Cylindrical Rotor Synchronous Motor in Optimal Efficiency Operation” Proceed-ings of International Conference on Electrical Machines, ICEM’98, vol. 1, pp. 187-192, Istanbul 1998.

-------------------------- Elected as Lecturer -----------------------

[C-4] Mademlis C. and Agelidis V. “A High-Performance Vector Controlled Interior PM Syn-chronous Motor Drive with Extended Speed Range Capability”, 27th Annual Conference of IEEE Industrial Electronics Society, IECON’01, Denver Colorado, pp. 1475-1482, Nov. 2001.

[C-5] Mademlis C. and Kioskeridis Ι. “Optimal Control in Switched Reluctance Motor Drives” IEE International Conference MedPower 2002, Athens, Greece, Nov. 2002.

[C-6] Mademlis C. and Agelidis V. “Wide Speed Operation of Synchronous Reluctance Motor Drives with a High-Performance Current Regulation Control Scheme” IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.

[C-7] Agelidis V. and Mademlis C., “Offshore Wind Turbines, Associated Drive Technology and Novel Multilevel Converter-Based HVDC Grid Connections” IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.

[C-8] Theodoulidis T. and Mademlis C., “Study on Efficiency Improvement of Single-Phase Induction Motors”, 38th International Univ. Power Eng. Conference, UPEC 2003, vol. 1, pp. 45-48, Thessaloniki, Greece, Sept. 2003.

[C-9] Mademlis C. and Michaelides A., “Magnetic Performance of a Single Phase Induction Motor under Triac-based Voltage Control”, 8th WSEAS Trans. on Circuits and Systems, International Conference, vol. 3, no. 5, pp. 1240-1245, Athens, Greece, July 2004.

-------------------------- Elected as Assistant Professor -----------------------

[C-10] Mademlis C. and Kioskeridis I., “Calculation of the Optimal Fire Angles in Single-Pulse Controlled Switched Reluctance Generator Drives”, Intern. Conf.on Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.

[C-11] Michaelides A. M. and Mademlis C., “Dynamic Performance Analysis on Switched Re-luctance Motors and Iron Loss Calculation using the Finite Element Method”, Intern. Conf. on Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.

[C-12] Mademlis C. and Kioskeridis I., “Smooth Transition between Optimal Control Modes in Switched Reluctance Motoring and Generating Operation”, Intern. Conf. on Power Sys-tems Transients, IPST’07, Lyon, France, June 2007.

[C-13] Mademlis C. and Kioskeridis I., “High Performance Position Control for Switched Reluc-tance Motor Drives with the Average Torque Control Method” Intern. Conf. CEFC’2008, Athens, Greece, pp. 179, May 2008.

[C-14] Mademlis C. and Kioskeridis I., “Four-Quadrant Smooth Torque Controlled Switched Reluctance Machine Drives”, Intern. Conf. PESC’08, Rhodos, Greece, pp. 1216-1222, June 2008.

[C-15] Papadopoulos K. G., Mademlis C., Michaelides A. M., Riley C. P., and Coenen I., “Ad-vanced Parametric Environment for Electrical Machines Design Optimization”, Intern. Conf. ICEM’2008, Vilamoura, Portugal, Sept. 2008.

[C-16] Mademlis C. and Kioskeridis I., “A Fine-Tuning Regulator for High Performance Control of Switched Reluctance Motor Drives”, Intern. Conf. MedPower’2008, Thessaloniki, Greece, Nov. 2008.

[C-17] Mademlis C. and Kioskeridis I., “Position Control of Switched Reluctance Motors by us-ing an Online Fine-Tuning Regulator”, Intern. Conf. Electromotion’2009, Lily, France, July 2009.


[C-18] Mademlis C. and Kioskeridis I., “Control Design for Maximum Efficiency of a Variable Speed Wind Energy Conversion System”, Intern. Conf. DISTRES’2009, Nicosia, Cyprus, Dec. 2009.

[C-19] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Efficiency of a Wind Energy Conversion System with a PM Synchronous Generator”, Intern. Conf. MedPower’2010, Agia Napa, Cyprus, Nov. 2010.

[C-20] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Electrical Energy Production of a Variable Speed Wind Energy Conversion System”, 21th IEEE Intern. Symp. on Indus-trial Electronics ISIE 2012, Hangzhou, China, May 2012.

[C-21] Karakasis N., Mesemanolis A. and Mademlis C., “Performance Study of Start-up Control Techniques in a a Wind Energy Conversion System with Induction Generator”, Intern. Conf. Speedam’2012, Sorrento, Italy, June 2012.

[C-22] Mesemanolis A., Mademlis C., Kioskeridis I., “A Fuzzy-Logic Based Control Strategy for Maximum Efficiency of a Wind Energy Conversion System”, Intern. Conf. Speedam’2012, Sorrento, Italy, June 2012.

[C-23] Karakasis N., Mesemanolis A. and Mademlis C., “Wind Turbine Simulator for Laborato-ry Testing of a Wind Energy Conversion Drive Train”, Intern. Conf. MedPower’2012, Cagliari, Italy, Sept. 2012.

[C-24] Mesemanolis A. and Mademlis C., “A Neural Network Based MPPT Controller for Vari-able Speed Wind Energy Conversion Systems”, Intern. Conf. MedPower’2012, Cagliari, Italy, Sept. 2012.

[C-25] Mesemanolis A. and Mademlis C., “On-line estimation of induction generator parameters using adaptive neuro-fuzzy inference systems for wind energy conversion systems”, In-tern. Conf. on Renewable Energies and Power Quality ICREPQ’13, Bilbao, Spain, March 2013.

[C-26] Mesemanolis A., Mademlis C., and Kioskeridis I., “Wind Speed Sensorless Maximum Efficiency Control for Wind Energy Conversion Systems”, Intern. Conf. WindPower AWEA’2013, Chicago, USA, May 2013.

[C-27] Mesemanolis A. and Mademlis C., “Self-Tuning Maximum Power Point Tracking Con-trol for Wind Generation Systems”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (accepted).

[C-28] Mesemanolis A., Mademlis C. and Kioskeridis I., “Copper Loss Minimization in Combi-nation with MPPT Control in a Wind Energy Conversion System with Induction Genera-tor”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (ac-cepted).

9.6 Papers in Greek conferences

[Η-1] Margaris N., Mademlis C., and Kioskeridis I., “Improved control techniques for variable speed electric motor drives’, Workshop in Power Electronics, Electric Motion Systems and Industrial Applications, TEE, Athens, April 2006.

[Η-2] Mesemanolis A., Mitrosilis M., and Mademlis C., “Complete system for measurements and testing of electric machines” 4th Metrology National Conference, Athens, Feb. 2012.

10. CITATIONS (without self-citations, totally 308 citations) Search source ISI (163 citations)

1. Yang, YP; Wang, JP; Wu, SW; Luh, YP, ‘Title: Design and control of axial-flux brushless DC wheel motors for electric vehicles - Part II: Optimal current waveforms and performance test’, IEEE TRANSACTIONS ON MAGNETICS, 40 (4): 1883-1891 Part 1 JUL 2004 [J-1]

2. Yang, YP; Luh, YP; Pan, YG, ‘Determination of the phase current waveform for a disc-type axial-flux wheel motor’, ASIAN JOURNAL OF CONTROL, 5 (2): 287-292 JUN 2003 [J-1]


3. Mimouni, MF; Dhifaoui, R, ‘Modelling and simulation of a double-star induction machine vector control using copper-losses minimization and parameters estimation’, INTERNATIONAL JOURNAL OF ADAPTIVE CON-TROL AND SIGNAL PROCESSING, 16 (9): 653-680 NOV 2002 [J-1]

4. Yang, YP; Luh, YP; Lee, CM, A novel design of optimal phase current waveform for an electric vehicle wheel motor’, ELECTRIC POWER COMPONENTS AND SYSTEMS, 30 (7): 705-721 JUL 2002 [J-1]

5. Senjyu, T; Shingaki, T; Omoda, A; Uezato, K, ‘High efficiency drives for synchronous reluctance motors using neural network’, IECON 2000: 26th Annual Conference of the IEEE-Industrial-Electronics-Society, OCT. 2000, NAGOYA, JAPAN [J-1]

6. Stumper, Jean-Francois; Doetlinger, Alexander; Kennel, Ralph, ‘Classical Model Predictive Control of a Perma-nent Magnet Synchronous Motor, EPE JOURNAL, vol. 22, no. 3, pp. 24-31, July-Sep. 2012, [J-2]

7. Aubry, Judicael; Ben Ahmed, Hamid; Multon, Bernard, ‘Sizing Optimization Methodology of a Surface Perma-nent Magnet Machine-Converter System Over a Torque-Speed Operating Profile: Application to a Wave Energy Converter’, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 59, no.5, pp. 2116-2125, May 2012, [J-2]

8. Sim, Kyuho; Kim, Tae Ho , ‘Thermohydrodynamic analysis of bump-type gas foil bearings using bump thermal contact and inlet flow mixing models’, TRIBOLOGY INTERNATIONAL vol. 48, Special Issue: SI, pp. 137-148, Apr 2012 , [J-2]

9. Phi Hung Nguyen; Hoang, Emmanuel; Gabsi, Mohamed, ‘Performance Synthesis of Permanent-Magnet Syn-chronous Machines During the Driving Cycle of a Hybrid Electric Vehicle’, IEEE TRANSACTIONS ON VE-HICULAR TECHNOLOGY, vol. 60, no. 5 Pages: 1991-1998, Jun 2011, [J-2]

10. Stumper, Jean-Francois; Doetlinger, Alexander; Jung, Janos; et al., ‘Predictive Control of a Permanent Magnet Synchronous Machine based on Real-Time Dynamic Optimization’, 14th European Conference on Power Elec-tronics and Applications (EPE)/ECCE, Birmingham, ENGLAND, Aug 2011, [J-2]

11. Kosaka, Takashi; Sridharbabu, Muthubabu; Yamamoto, Masayoshi; et al., ‘Design Studies on Hybrid Excitation Motor for Main Spindle Drive in Machine Tools’, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 57, no. 11, pp. 3807-3813, Nov 2010, [J-2]

12. Shinnaka. S, ‘New Structures of Vector Control Systems for Permanent Magnet Synchronous Motors with Core Loss’, ELECTRICAL ENGINEERING IN JAPAN, 170 (3): 28-39 FEB 2010 [J-2]

13. Sergaki. ES, Georgilakis. PS, Kladas, AG, Stavrakakis. GS, ‘Fuzzy Logic Based Online Electromagnetic Loss Minimization of Permanent Magnet Synchronous Motor Drives’, ICEM 2008 International Conference on Elec-trical Machines, Vol. 1- 4: 1601-1607, SEP 2008, Vilamoura, PORTUGAL [J-2]

14. Lee J., Nam K., Choi S., Kwon, S., ‘Title: A lookup table based loss minimizing control for FCEV permanent magnet synchronous motors’, 2007 IEEE Vehicle Power and Propulsion Conference (VPPC), Vol. 1 - 2: 175-179, 2007. Arlington, TX [J-2]

15. Di Tommaso AO, Miceli R, Galluzzo GR, Trapanese. M., ‘Efficiency maximization of permanent magnet syn-chronous generators coupled to wind turbines’, 38th IEEE Power Electronic Specialists Conference, Vol. 1-6: 1267-1272, JUN. 2007, Orlando, FL [J-2]

16. Di Tommaso AO, Miceli R, Galluzzo GR, Trapanese, M., ‘Efficiency control for permanent magnet synchronous generators’, IEEE International Conference on Industrial Technology, Vol. 1-6: 2701-2706, DEC. 2006, Bom-bay, INDIA [J-2]

17. Dong G, Ojo O., ‘Efficiency optimizing control of induction motor using natural variables’, IEEE TRANSAC-TIONS ON INDUSTRIAL ELECTRONICS, 53 (6): 1791-1798 DEC 2006 [J-2]

18. Ojo O., Dong, G., ‘Sensorless control of induction motor using natural variables with loss minimization’, 20th Annual IEEE Applied Power Electronics Conference (APEC 2005), Vol. 1-3: 451-457, MAR. 2005, Austin, TX [J-2]

19. Cavallaro C., Di Tommaso AO., Miceli R., Raciti A., Galluzzo GR.., Trapanese, M., ‘Efficiency enhancement of permanent-magnet synchronous motor drives by online loss minimization approaches’, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 52 (4): 1153-1160 AUG 2005 [J-2]

20. Ojo O., Dong G., ‘Efficiency optimizing control of induction motor using natural variables’, APEC 2004: 19th Annual IEEE Applied Power Electronics Conference, Vol. 1-3: 1622-1627, FEB. 2004, Aachen, GERMANY [J-2]

21. Cavallaro C., Di Tommaso AO., Miceli R., Raciti A., Galluzzo GR., Trapanese M., ‘Analysis a DSP implemen-tation and experimental validation of a loss minimization algorithm applied to permanent magnet synchronous motor drives’, IECON'03: 29th Annual Conference of the IEEE Industrial-Electronics-Society, Vol. 1 - 3: 312-317, NOV. 2003. Roanoke, VA [J-2]

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256. Zhu, Z.Q., Gong, L.M., ‘Improved sensorless operation of permanent magnet brushless AC motors based on online optimal efficiency control’, IEEE International Electric Machines and Drives Conference, IEMDC 2011, pp. 1591-1596 [J-10]

257. Sheng, Y.-F., Yu, S.-Y., Gui, W.-H., Liu, S.-X., Zhou, W.-Z., ‘Efficiency optimization control of permanent magnet synchronous motor for urban rail traction’, Journal of Central South University (Science and Technolo-gy) 42 (7) , pp. 1997-2003 [J-10]

258. Supari, Syafaruddin, Made Yulistya Negara, I., Ashari, M., Hiyama, T., ‘RBFN based efficiency optimization method of induction motor utilized in electrically driven marine propellers’, IEEJ Transactions on Industry Ap-plications 131 (1) , pp. 68-75, 2011 [J-10]

259. Siahbalaee, J., Vaez-Zadeh, S., Tahami, F., ‘A new loss minimization approach with flux and torque ripples re-duction of direct torque controlled permanent magnet synchronous motors’, 13th European Conference on Power Electronics and Applications, EPE '09, art. no. 5278803 [J-10]

260. Lee, J.-G., Nam, K.-H., Lee, S.-H., Choi, S.-H., Kwon, S.-W., ‘A lookup table based loss minimizing control for FCEV permanent magnet synchronous motors’, (2009) Journal of Electrical Engineering and Technology, 4 (2), pp. 201-210 [J-10]

261. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and saturation into account’, 2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J-10]

262. Ojo, O., Wu, Z., ‘A speed contorl of an interior permanent magnet motor drive ensuring minimum electrical loss’, 2005 IEEE International Conference on Electric Machines and Drives, pp. 1045-1052. [J-10]

263. Raweekul, S., Kulworawanichpong, T., Sujitjorn, S., ‘Modelling and simulation of multiple single - Phase induc-tion motor in parallel connection’, Songklanakarin Journal of Science and Technology, 28 (6), pp. 1335-1350 [J-10]

264. Wang, X., Hao, B., Xu, X., Gao, Q., ‘Capacitor optimization of the single-phase capacitor-run induction motor’, 2013, Applied Mechanics and Materials 273 , pp. 286-290 [J-11]

265. Raweekul, S., Kulworawanichpong, T., Sujitjorn, S., ‘Parallel - Connected single - Phase induction motors: Modelling and simulation’, (2006) WSEAS Transactions on Circuits and Systems, 5 (3), pp. 377-384 [J-11]

266. Albatran, S., Alomoush, M., ‘Modeling and simulation of TCSC-Operated single-phase induction motor’, 2010, Journal of Electrical Systems 6 (1), pp. 1-15 [J-12]

267. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and saturation into account’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J-12]

268. Li, Z., Gao, D., Lee, D.-H., Ahn, J.-W., ‘Power closed-loop control for high efficiency switched reluctance gen-erator’, IEEE Vehicle Power and Propulsion Conference, VPPC 2012, pp. 590-593 [J-13]


269. Bilgin, B., Emadi, A., Krishnamurthy, M., ‘Switched reluctance generator with higher number of rotor poles than stator poles’, IEEE Transportation Electrification Conference and Expo, ITEC 2012 [J-13]

270. Du, J., Liang, D., ‘Optimal performance study of mutually coupled linear switched reluctance generators in wave energy conversion’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-13]

271. Bao, Y.J., Cheng, K.W.E., Xue, X.D., Chan, J., Zhang, Z., Lin, J.K., ‘Research on a novel switched reluctance generator for wind power generation’, 4th International Conference on Power Electronics Systems and Applica-tions, PESA 2011 [J-13]

272. Kerdtuad, P., Kittiratsatcha, S., ‘Study of maximum power conversion of a switched-reluctance generator’, 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Asso-ciation of Thailand - Conference 2011, pp. 633-636 [J-13]

273. Chang, Y.-C., Cheng, C.-H., Lu, L.-Y., Liaw, C.-M., ‘An experimental switched-reluctance generator based dis-tributed power system’, 19th International Conference on Electrical Machines, ICEM 2010 [J-13]

274. Le-Huy, H., Chakir, M., ‘Optimizing the performance of a switched reluctance generator by simulation’, 19th International Conference on Electrical Machines, ICEM 2010 [J-13]

275. Song, S., Liu, W., Schaefer, U., ‘Optimal control of a high speed switched reluctance starter/generator for the more/all electric aircraft’, 2010, Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 25 (4) , pp. 44-52 [J-13]

276. Li, Z., Zhao, N., Kan, Z., Lee, D.-H., Ahn, J.-W., ‘Modeling and simulation of A switched reluctance generator system based on variable generation voltage converter’, 2009 INTELEC, International Telecommunications En-ergy Conference (Proceedings) [J-13]

277. Bao, Y.J., Cheng, K.W.E., Divakar, B.P., ‘Research on a novel switched reluctance wind power generator system for electric vehicles’, International Conference on Power Electronics Systems and Applications, PESA 2009, art. no. 5228590 [J-13]

278. Zhao, Y., Chai, J., ‘Current chopping controlled switched reluctance generator for wind energy applications’, (2007) Qinghua Daxue Xuebao/Journal of Tsinghua University, 47 (7), pp. 1118-1121 [J-13]

279. Liu, S., Tan, G., Luo, C., Zhang, X., Ma, Z., ‘Magnetic performance of shearer switched reluctance motors drive’, 2011, Procedia Earth and Planetary Science 2 (1) , pp. 98-103 [J-14]

280. Wang, G., Zhang, J.W., Hu, X.W., Zhuo, Z.M., ‘Study of the optimal power output in variable speed wind power generation system based on switched reluctance motor’, 1st International Conference on Sustainable Power Gen-eration and Supply, SUPERGEN '09 [J-14]

281. Sikder, C., Husain, I., Sozer, Y., ‘Switched reluctance generator controls for optimal power generation with cur-rent regulation’, IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 4322-4329 [J-15]

282. Li, Z., Gao, D., Lee, D.-H., Ahn, J.-W., ‘Power closed-loop control for high efficiency switched reluctance gen-erator’, 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012, pp. 590-593 [J-15]

283. Sun, J., Kuang, Z., Wang, S., Chen, Y., ‘Efficiency optimal control of switched reluctance machine over wide speed range applied to flywheel energy storage system’, 16th International Symposium on Electromagnetic Launch Technology, EML 2012 [J-15]

284. Bilgin, B., Emadi, A., Krishnamurthy, M., ‘Switched reluctance generator with higher number of rotor poles than stator poles’, IEEE Transportation Electrification Conference and Expo, ITEC 2012 [J-15]

285. Sun, J., Kuang, Z., Wu, H., Wang, S., Ning, G., ‘Implementation of a high-speed switched reluctance start-er/generator system’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-15]

286. Du, J., Liang, D., ‘Optimal performance study of mutually coupled linear switched reluctance generators in wave energy conversion’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-15]

287. Fernando, W.U.N., Barnes, M., Marjanovic, O., ‘Excitation control and voltage regulation of switched reluctance generators above base speed operation’, IEEE Vehicle Power and Propulsion Conference, VPPC 2011 [J-15]

288. Xue, X.D., Cheng, K.W.E., Bao, Y.J., Leung, J., ‘Design consideration of C-core switched reluctance generators for wind energy’, 4th International Conference on Power Electronics Systems and Applications, PESA 2011 [J-15]

289. Shao, B., Emadi, A., ‘A digital control for switched reluctance generators’, IEEE International Conference on Mechatronics, ICM 2011 - Proceedings pp. 182-187 [J-15]

290. Kerdtuad, P., Kittiratsatcha, S., ‘Study of maximum power conversion of a switched-reluctance generator’, 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI 2011), pp. 633-636 [J-15]

291. Turker, C.G., Kuyumcu, F.E., ‘Determining of the magnetic characteristics of the E-core Transverse Flux Ma-chine based on neural network’, INISTA 2011 International Symposium on INnovations in Intelligent SysTems and Applications, pp. 217-222 [J-15]

292. An, L.H., Bian, D.X., ‘Measurement analysis of switched reluctance generator output power’, ICMREE2011 In-ternational Conference on Materials for Renewable Energy and Environment, pp. 1805-1808 [J-15]

293. Xiong, L.-X., Gao, H.-L., Xu, B.-Y., Xu, L., ‘Control principles of switched reluctance generator for maximum output power’, (2009) Dianji yu Kongzhi Xuebao/Electric Machines and Control, 13 (2), pp. 250-254 [J-15]


294. Yuan, X., Gao, Y., Ehsani, M., ‘Study on the performance and control of SR machine for vehicle regenerative braking’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677776 [J-15]

295. Chen, H., ‘Implementation of a three-phase switched reluctance generator system for wind power applications’, 2008 14th Symposium on Electromagnetic Launch Technology, EML, Proceedings, pp. 489-494 [J-15]

296. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and saturation into account’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J-15]

297. Muhammad Raza, K.S., Goto, H., Hai-Jiao, G., Osamu, I., ‘Maximum power point tracking control and voltage regulation of a dc grid-tied wind energy conversion system based on a novel permanent magnet reluctance gener-ator’, International Conference on Electrical Machines and Systems, ICEMS 2007, pp. 1533-1538 [J-15]

298. Wei, Q., Liu, D., ‘Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state us-ing adaptive dynamic programming’, 2011, Journal of Control Theory and Applications 9 (3) , pp. 381-390 [J-16]

299. Lee, S., Kim, Y.-J., Jung, S.-Y., ‘Numerical investigation on torque harmonics reduction of interior pm synchro-nous motor with concentrated winding’, IEEE Transactions on Magnetics 48 (2) , 2012, pp. 927-930 [C-4]

300. Liu, H., Zhu, Z.Q., Mohamed, E., Fu, Y., Qi, X., ‘Flux-weakening control of nonsalient pole PMSM having large winding inductance, accounting for resistive voltage drop and inverter nonlinearities’, IEEE Transactions on Power Electronics 27 (2), 2012, pp. 942-952 [C-4]

301. Lee, S., Jeong, Y.-S., Kim, Y.-J., Jung, S.-Y., ‘Novel analysis and design methodology of interior permanent-magnet synchronous motor using newly adopted synthetic flux linkage’, IEEE Transactions on Industrial Elec-tronics 58 (9), 2011 , pp. 3806-3814 [C-4]

302. Ahn, Y., Lee, S., Jung, S.-Y., ‘Design methodology of IPMSM using synthetic flux linkage’, 19th International Conference on Electrical Machines, ICEM 2010 [C-4]

303. Kim, M.-S., Jeon, W., Jeong, Y.-S., Jung, S.-Y., ‘Numerical identification of synthetic flux linkages considering cross-magnetization for interior PM Synchronous Motor and its effective availability on design and control’, 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008, pp. 1299-1304 [C-4]

304. Lee, S.-Y., Kwak, S.-Y., Seo, J.-H., Jung, H.-K., ‘Development of multi-layer interior permanent magnet syn-chronous machine for vehicle’, International Conference on Electrical Machines and Systems, ICEMS 2007, pp. 935-938 [C-4]

305. Jung, S.-Y., ‘Numerical identification of d and q axis parameters for multi-layer Buried PM Synchronous Motor considering cross-magnetization’, International Conference on Electrical Machines and Systems, ICEMS 2007, pp. 729-734 [C-4]

306. Kim, M.-S., Kwak, S.-Y., Jung, H.-K., Jung, S.-Y., ‘D-Q flux linkage identification for interior buried permanent magnet synchronous motor considering cross-magnetization’, (2007) Transactions of the Korean Institute of Electrical Engineers, 56 (12), pp. 2116-2121 [C-4]

307. Chy, Md.M.I., Nasir Uddin, M., ‘Development of a nonlinear speed controller of IPMSM drive incorporating MTPA with mechanical parameter estimation’, IEEE International Electric Machines and Drives Conference, IEMDC 2007, 1, art. no. 4270660, pp. 322-327 [C-4]

308. Mikail, R., Husain, I., Sozer, Y., Islam, M., Sebastian, T., ‘Four-quadrant torque ripple minimization of switched reluctance machine through current profiling with mitigation of rotor eccentricity problem and sensor errors’, IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 838-842 [C-14]

Citations (without self-citations):

Publica-tion

J1 J2 J3 J4 J5 J6 J7 J8 J9 J10 J11 J12 J13 J14 J15 J16 J17 C4 C14

ISI 5 19 2 20 20 5 5 11 9 18 5 11 5 16 3 9

SCOPUS 11 6 20 3 39 2 6 13 2 2 11 2 17 1 9 1

Total 5 30 8 40 3 59 7 5 17 22 20 7 22 7 33 4 9 9 1


11. PRESENTATION OF THE RESEARCH WORK

11.1 Book

[B-1] “Servomotor System Drives (Induction motors and permanent magnet motor drives)”, Edi-tion Tziolas, 567 pages, Thessaloniki, Greece, 2010, (in Greek).

General characteristics of the electric machines and basic principles of electromechanical energy conversion. Permanent magnets (magnetic circuits, relation between energy and volume of permanent magnet, operational characteristics, materials and properties). Types of permanent magnet electric ma-chines and synchronous reluctance machines.

Theory of the vector control in electric machines (space vector theory, definition of the space vec-tors in the arbitrary reference frame, mechanism for magnetic flux production, operational principle of the vector control). Arbitrary reference frame equivalent circuits for ac electric machines in dynamic op-eration and two-axis theory for various types of electric machines. Power electronic converters.

Vector control and direct torque control in induction motor drives. Square-wave permanent magnet synchronous motor (brushless dc motor), sinusoidal permanent magnet synchronous motor (non-salient and salient type brushless ac motor). Speed and position sensors for electric machines and PI controller. Basic principles for optimal design and adjustment of controller parameters in servo drive systems. 11.2 Lecture Notes

[N-1] “Electric Machines Magnetic Circuits and Electromechanical Energy Conversion”, Notes for the lesson Electric Machines A΄, Aristotle University of Thessaloniki, 89 pages, Thessaloniki, Greece, 2005, (in Greek).

Magnetic circuits of electric machines (magnetic material behaviour, closed magnetic circuit, mag-netic circuit with air gap). Induced voltage and magnetically coupled circuits (magnetically coupled in-ductors and transformer equivalent circuit).

Power losses and efficiency of a transformer, (magnetic field energy, hysteresis and eddy-current losses, full and approximated equivalent circuit of a transformer). Magnetic circuit of rotational electric machines.

Basic principles of electromagnetic energy conversion (mechanical force production and variation of the energy stored in the coupling field, energy conversion in voltage source and current source electric energy conversion system, graphical representation of the energy conversion, mechanical force and torque in a double excited electromechanical system, force and torque production in electric machines).

[N-2] “Single-phase Motors”, Notes for the lesson Electric Machines B΄, Aristotle University of

Thessaloniki, 50 pages, Thessaloniki, Greece, 2004, (in Greek).

General characteristics (equivalent circuits of single phase electric motors and torque-speed charac-teristic). Two-phase electric motor – Starting of the single phase induction motor (cross field theory and double revolving field theory in two phase and single phase induction motors). Single-phase induction motor (split-phase and capacitor type induction motor and the equivalent circuits).

Universal motor (equivalent circuit and torque-speed characteristic).

11.3 Ph. D. Dissertation

“Loss Minimization in Synchronous Motors and Study of their Operational and Thermal Per-formance”. Aristotle University of Thessaloniki, 164 pages, Thessaloniki, Greece, 1997.

The loss minimization problem in wound field cylindrical rotor synchronous motor drives is investi-gated. Also, the magnetic and thermal behaviour of the motor in the case of optimal efficiency operation is considered. The suggested loss minimization method is based on the air-gap flux weakening and attempt to make the air-gap flux an increasing function of the load torque. This technique is easily implemented on adjustable speed drives, which are inverter-fed. The efficiency improvement and the energy saving are considerable when the motor operates at light load.


From the theoretical analysis, two loss minimization conditions are derived. The first loss minimiza-tion condition is known from the synchronous motor theory and its optimal power factor is equal to unity. However, the absolute minimum loss results from the second condition with lagging optimal power fac-tor. The existence of two loss minimization conditions and the fact that the absolute minimum is achieved with the second condition are experimentally verified. The loss minimization method is implemented selectively by a system of two search controllers (SCs) or two loss model controllers (LMCs). The SCs measure the input power of the drive and adjust the stator voltage and the excitation current, while search for the minimum input power. On the other hand, the LMCs measure the speed and the armature current and determine the optimal stator voltage and the optimal excitation current through the synchronous motor loss model. The reference speed can be used instead of the actual speed. In this thesis a simple method has been developed for experimental determi-nation of the LMCs parameters. From the experiments it is concluded that the LMCs performance is bet-ter than the SCs because LMCs outputs attain a steady state, while the SCs outputs oscillate around the optimal air-gap flux value and cause undesirable torque disturbances. The two-dimensional magnetic field is solved by the finite-element technique over the whole cross-section of the motor, in steady-state, by taking saturation into account. The program inputs are the field current, the armature current and the phase angle between them. In this thesis, the dc field winding is re-placed by a three-phase equivalent winding reflected to the stator side. The sinusoidal currents of this winding excite a magnetic field of which the fundamental component is equivalent to the original. Upon this approach, there is no relative motion between the rotor and stator. The analysis is applied to the 1-kW synchronous motor of the experiments. Through the magnetic field solution, it is verified that the loss minimization method leads to non-saturated operation. The temperature field is calculated in steady state, assuming non-axial thermal heat flow. The pro-gram inputs are the thermal sources of the copper losses (measured experimentally) and iron losses (cal-culated from the distribution of the magnetic field). The temperature distribution is calculated for various loads and speeds. It is proved that the temperature values under the loss minimization method are lower than in the nominal flux operation. Also, it is noticeable that, although the stator copper losses are in-creasing, the temperature in the stator copper decreases. 11.4 Refereed journal papers

[J-1] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Wound-Field Cylindri-cal Rotor Synchronous Motor Drives”, IEEE Trans. on Power Electronics, vol. 13, no. 2, pp. 288 - 296, March 1998.

In this paper was published the results of the first part of the Ph. D. Dissertation. The loss minimization problem in wound-field cylindrical rotor synchronous motor drives (SMD’s) is investigated. From the theoretical analysis results a system of two loss model controllers (LMC’s) for determining the optimal air-gap flux and optimal excitation current that minimizes the losses. The sug-gested LMC’s are simple, and their implementation does not affect significantly the cost and complexity of the drive. Although the conception of the suggested LMC’s is based on the loss model of the synchro-nous motor, it is shown that their implementation does not require knowledge of the loss model. All the theoretical results are verified experimentally.

[J-2] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Surface Permanent

Magnet Synchronous Motor Drives”. IEEE Trans. on Industrial Electronics, vol. 47, no. 1, pp. 115-122, Feb. 2000.

The loss minimization in surface PM synchronous motor drives is investigated. Based on theoretical analysis, a loss model controller is introduced to specify the optimal air-gap flux that minimizes losses. Theoretical results are verified experimentally. The proposed loss model controller is simple and does not affect adversely the cost and complexity of the drive. Implementation of the loss model controller does not require knowledge of the loss model. The suggested loss minimization method can be applied both in V/f or current-controlled schemes.


[J-3] Mademlis C., Margaris N., and Xypteras J. “Magnetic and Thermal Performance of a Syn-chronous Motor under Loss Minimization Control”. IEEE Trans. on Energy Conversion, vol. 15, no. 2, pp. 135-142, June 2000.

In this paper was published the results of the second part of the Ph. D. Dissertation. Additionally, experimental results are presented that validate the theoretical considerations. The steady state magnetic and thermal performance of a wound-field cylindrical rotor synchronous motor under loss minimization control is investigated. The calculated magnetic field waveforms are pre-sented and it is shown that loss minimization control decreases the magnetic saturation. It is also proved that although the optimal stator current is increased, the temperature is decreased in all parts of the motor. Theoretical and experimental results are presented to verify the operational improvements. [J-4] Mademlis C. and Agelidis V.G., “On Considering Magnetic Saturation with Maximum

Torque to Current Control in Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conversion, vol.16, no. 3, pp. 246-252, Sept. 2001.

The influence of magnetic saturation on maximum torque to current controlled interior permanent magnet synchronous motor drives is discussed in this paper. A maximum torque to current condition that takes into account magnetic saturation and determines the optimal d-axis current is derived. For the im-plementation of the proposed controller, an experimental procedure is used to adjust its parameters, there-fore, the knowledge of the exact model is not required. Selected experimental results are presented to verify the theoretical considerations and to confirm the high performance of the suggested controller.

[J-5] Agelidis V.G. and Mademlis C., “Technology of Offshore Wind Turbines and Farms and

Novel Multilevel Converter-Based HVDC Systems for their Grid Connections”, Wind En-gineering, vol. 26, no. 6, pp. 383-395, Nov. 2002, (Invited paper).

The technology associated with offshore wind farms is discussed in detail. First, the various offshore wind turbines are reviewed and the factors influencing their characteristics are outlined in comparison with their onshore counterparts. This overview serves as a basis for the discussion that follows regarding the possible electrical connection within the farm, and between the farm and the grid. Voltage-source converter-based HVDC connection is compared with HVAC connection. Finally, a novel multilevel con-verter-based HVDC system, based on flying capacitor multilevel converters is proposed, as a possible interface between the farm and the grid.

[J-6] Mademlis C. and Margaris N., “Loss Minimization in Vector Controlled Interior Perma-

nent Magnet Synchronous Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 49, no. 6, pp. 1344-1347, Dec. 2002.

An efficiency optimization method for vector-controlled interior permanent-magnet synchronous motor drives is presented. Based on theoretical analysis, a loss minimization condition that determines the optimal d-axis component of the armature current is derived. Selected experimental results are pre-sented to validate the effectiveness of the proposed control method.

[J-7] Mademlis C., “Compensation of Magnetic Saturation in Maximum Torque to Current Vec-

tor Controlled Synchronous Reluctance Motor Drives”, IEEE Trans. on Energy Conver-sion, vol. 18, no. 3, pp. 379-385, Sept. 2003.

This paper investigates the influence of magnetic saturation in maximum torque to current vector controlled synchronous reluctance motor drives. A theoretical analysis is presented where a maximum torque to current condition that takes into account and compensates the effect of magnetic saturation in the synchronous reluctance motor drive performance is derived. The proposed controller does not affect the dynamic performance of the drive and is easily implemented, since an experimental procedure is used to determine its parameter. Therefore, the knowledge of the exact motor model is not required. Several experimental results are presented to validate the effectiveness of the proposed controlled scheme.


[J-8] Kioskeridis I. and Mademlis C., “Energy Efficiency Optimization in Synchronous Reluc-tance Motor Drives”, IEE Proc. – Electric Power Applications, vol. 150, no. 2, pp. 201-209, March 2003.

This paper presents a method for energy efficiency optimization of synchronous reluctance motor drives. The proposed method is implemented both in current vector or voltage source V/f controlled schemes. Based on theoretical considerations, two optimal efficiency conditions that determine the opti-mal air-gap flux and the optimal d-axis current for the two control schemes are derived. The proposed controllers do not affect the cost and the complexity of the drive. Moreover, they are easily implemented, since an experimental procedure is used to determine their parameters and therefore the knowledge of the loss model is not required. Experimental results are presented to validate the proposed control methods and the resulting improvements.

[J-9] Mademlis C. and Kioskeridis I., “Performance Optimization in Switched Reluctance Mo-

tor Drives with On-line Commutation Angle Control”, IEEE Trans. on Energy Conversion, vol. 18, no. 3, pp. 448-457, Sept. 2003.

The problem of performance optimization in current controlled switched reluctance motor (SRM) drives is investigated. Two controllers are proposed that determine the optimal turn-on and turn-off an-gles, respectively, for improving motor efficiency and torque ripple. The suggested controllers are simple, do not affect the complexity of the drive, and are easily implemented since the knowledge of torque-angle-current characteristics or magnetization curves is not required. The proposed control scheme is demonstrated on a prototype experimental system.

[J-10] Mademlis C., Kioskeridis I., and Margaris N., “Optimal Efficiency Control Strategy for

Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conver-sion, vol. 19, no. 4, pp. 715-723, Dec. 2004.

In this paper, the problem of efficiency optimization in vector-controlled interior permanent-magnet (PM) synchronous motor drives is investigated. A loss model controller is introduced that determines the optimal d-axis component of the stator current that minimizes power losses. For the implementation of the suggested controller, the knowledge of the loss model is not required since an experimental procedure is followed to determine its parameters. Furthermore, it is shown that the loss model of the interior PM motor can be used as a basis for deriving loss minimization conditions for surface PM synchronous mo-tors and synchronous reluctance motors as well. Experimental results of an interior PM motor are pre-sented to validate the effectiveness of the proposed method and demonstrate the operational improve-ments.

[J-11] Mademlis C., Kioskeridis I., and T. Theodoulidis, “Optimization of Single-Phase Induc-

tion Motors, Part I: Maximum Energy fficiency Control”, IEEE Trans. on Energy Conver-sion, vol. 20, no. 1, pp. 187-195, March 2005.

This paper investigates the problem of efficiency optimization in capacitor-run single-phase induc-tion motors. The double-revolving-field concept is employed in the theoretical analysis and a relation between the main and auxiliary stator currents is derived that accomplishes optimal efficiency under con-stant torque operation. A triac-based drive with an optimal efficiency voltage controller is proposed. The controller is easily implemented since an experimental procedure is used for adjusting its parameters. Moreover, the proposed control scheme satisfies all of the prerequisites of simplicity, reliability, and cost-effectiveness that are imposed by the utilization of a single-phase motor. Several experimental re-sults are presented to validate the effectiveness of the proposed efficiency optimization control method. [J-12] Mademlis C., Theodoulidis T., and Kioskeridis I., “Optimization of Single-Phase Induc-

tion Motors, Part II: Magnetic and Torque Performance under Optimal Control”, IEEE Trans. on Energy Conversion, vol. 20, no. 1, pp. 196-203, March 2005.

The magnetic and torque performance of a capacitor-run single-phase induction motor operated at constant torque under the optimal efficiency control, as presented in Part I [J-11], is analysed. The mag-


netic field analysis demonstrates that magnetic saturation is considerably decreased with optimal effi-ciency control. Although triac-based optimal voltage controller introduces voltage and current harmonics, torque pulsations and acoustic noise are reduced due to magnetic flux weakening. The reduction of torque pulsations and acoustic noise is considerable in the low torque region where significant energy savings are also achieved. Selected calculated and experimental results are presented to validate the theo-retical considerations and the resulting improvements.

[J-13] Mademlis C. and Kioskeridis I., “Optimizing Performance in Current Controlled Switched

Reluctance Generators”, IEEE Trans. on Energy Conversion, vol. 20, no. 3, pp. 556-565, Sept. 2005.

The problem of choosing the firing angles for accomplishing optimal performance in current-controlled switched reluctance generators (SRGs) is examined. The optimal performance is reached with the correct balance between the criteria of high efficiency and low torque ripple. The concept of the method is based on the optimal control of turn-on and turn-off angles according to electrical load re-quirements and depending on rotor speed and dc-link voltage. A simple controller is proposed that on-line determines the optimal firing angles. The suggested controller does not affect the complexity of the drive and the knowledge of the magnetization curves is not required for its implementation. Simulation and experimental results are presented to validate the resulting improvements of the proposed control scheme.

[J-14] Kioskeridis I. and Mademlis C., “Maximum Efficiency in Single-Pulse Controlled

Switched Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 20, no. 4, pp. 809-817, Dec. 2005.

The problem of choosing the firing angles for accomplishing maximum efficiency in single-pulse controlled switched reluctance motor drives is investigated. The suggested method is based on the opti-mal control of flux-linkage, through the firing angles, according to load torque requirements and depend-ing on rotor speed. A controller that determines online the optimal turn-on and turn-off angles is pro-posed. The suggested controller does not affect the complexity of the drive and it is easily implemented, since knowledge of magnetization curves is not required. Moreover, it provides smooth transition be-tween optimal single-pulse and pulse width modulation (PWM) current control modes and thus, optimal performance of the switched reluctance motor drive is attained over the entire speed range. Simulation and experimental results are presented to validate the resulting improvements of the proposed control scheme.

[J-15] Kioskeridis I. and Mademlis C., “Optimal Efficiency Control of Switched Reluctance

Generators”, IEEE Trans. on Power Electronics, vol. 21, no. 4, pp. 1062-1072, July 2006.

This paper investigates the problem of optimal control for accomplishing maximum energy conver-sion in switched reluctance generators. A controller that determines the optimal turn-on and turn-off an-gles in the mode of single-pulse operation is proposed. The structure of the controller and its implementa-tion are simple, since the knowledge of the magnetization curves is not required. The suggested generator drive operates in a wide speed range and provides constant dc-link voltage at a desired value, with maxi-mum energy efficiency. Simulation and experimental results are presented to validate the effectiveness and the resulting improvements of the proposed control scheme.

[J-16] Kioskeridis I. and Mademlis C., “A Unified Approach for Four-Quadrant Optimal Con-

trolled Switched Reluctance Machine Drives with Smooth Transition between Control Op-erations” IEEE Trans. on Power Electronics, vol. 24, no. 1, pp. 301-306, Jan. 2009.

The aim of this paper is to unify the optimal control of a switched reluctance machine in a four-quadrant drive with smooth transition between the control-mode operations. The smooth transition is at-tained since the firing angle conditions of one operating mode are derived from the conditions of the oth-er operating mode. The proposed control scheme is easily implemented since the knowledge of the ma-chine magnetization curves is not required. Experimental results on a prototype control system are pre-


sented to validate the theoretical considerations and demonstrate the effectiveness of the proposed control scheme.

[J-17] Mademlis C., Kioskeridis I., “Gain Scheduling Regulator for High Performance Position

Control of Switched Reluctance Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 57, no. 9, pp. 2922-2931, Sept. 2010.

The problem of high-precision position control in switched reluctance motor (SRM) drives is inves-tigated in this paper. Advanced proportional–integral and proportional–differential controllers for speed and position controls, respectively, are adopted. A gain-scheduling technique is adopted in the speed con-troller design for providing high dynamic performance and precise position control. In order to improve the set-point tracking, a low-pass filter is included in the position controller. The proposed four-quadrant control scheme is based on the average torque control method. The turn-on and turn-off angles are online determined through simple formulas so as to reduce the torque ripple at an acceptable level over a wide speed range. This is important since the position precision is highly influenced from the motor torque ripple. Experimental results of the SRM dynamic response are presented to verify the theoretical consid-erations and to demonstrate the effectiveness of the proposed control scheme.

[J-18] Mesemanolis A., Mademlis C., and Kioskeridis I., “High-Efficiency Control for a Wind

Energy Conversion System With Induction Generator”, IEEE Trans. on Energy Conver-sion, 2012, vol. 27, no. 4, pp. 958-967, Dec. 2012.

In this paper, an improved efficiency control scheme for wind energy conversion systems (WECSs) with squirrel cage induction generators is proposed. Thus, the power harvesting from the WECS is in-creased and additionally expansion of the exploitable wind speed region toward the lower speed range is accomplished. The generator is connected to the power grid by means of two space-vector-controlled back-to-back converters. A minimum ohmic loss (MOL) controller is introduced in order to minimize the generator resistive loss that is accomplished by adjusting the d-axis stator current according to torque conditions. The implementation of the proposed controller is easy and cost effective because neither addi-tional control signals nor the knowledge of the generator loss model is required. The effectiveness of MOL controller and its successful cooperation with two types of maximum power point tracking (MPPT) controllers, which are employed to maximize the wind turbine output power, are experimentally verified. The MPPT controller is implemented by using an adaptive search control and a fuzzy-logic-based control technique, since both are independent of wind turbine characteristics and widely used. Selective experi-mental results are presented to demonstrate the resulting improvements of the suggested control scheme. 11.5 Refereed conference papers

[C-1] Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Synchronous Motors”, Proceedings of IEEE International Symposium of Industrial Electronics, ISIE’95, vol. 1, pp. 297-302, Athens 1995.

It is known that, if an electrical machine does not operate at nominal load, nominal magnetic flux is not required. That means that, if magnetic flux is reduced, iron losses can be reduced also. On the contra-ry, copper losses at the stator are increased for a given constant load. Using the proposed method, power supply of the stator and rotor can be controlled in order to achieve optimal magnetic flux, under which value, total power losses can be minimized. Preliminary work of J-1.

[C-2] Mademlis C., Xypteras J., and Margaris N. “Calculation and Minimization of Synchronous

Motor Power Losses”, Workshop in Contemporary Problems in Power Engineering, pp. 153-168, Thessaloniki 1995.

The proposed method determines the optimal air gap magnetic flux, for constant power factor (cosφ=1) and minimizes the total power losses in steady state. The method can be applied to all types of synchronous motors. In the present paper, the theoretical analysis refers to the non-salient pole motor, whereas the experiments took place in a salient pole motor. Preliminary work of J-1.


[C-3] Mademlis C., Xypteras J., and Margaris N. “Magnetic and Thermal Analysis of a Wound-Field Cylindrical Rotor Synchronous Motor in Optimal Efficiency Operation” Proceedings of Intern. Conf. on Electrical Machines, ICEM’98, vol. 1, pp. 187-192, Istanbul 1998.

The steady state magnetic and thermal performance of the wound-field cylindrical rotor synchronous motor under loss minimization control is investigated. The calculated magnetic field waveforms are pre-sented and they are shown that loss minimization control decrease the magnetic saturation. It is also proved that although the optimal stator current is increased, the temperature is decreased in all the parts of the motor. The method of finite elements throughout the motor cross section is used for the calcula-tions. Preliminary work of J-3.

[C-4] Mademlis C. and Agelidis V. “A High-Performance Vector Controlled Interior PM Syn-

chronous Motor Drive with Extended Speed Range Capability”, 27th Annual Conference of IEEE Industrial Electronics Society, IECON’01, Denver Colorado, pp. 1475-1482, Nov. 2001.

A high performance current vector controlled scheme for interior permanent magnet (IPM) synchro-nous motor drives is presented in this paper. The proposed control scheme takes into account the magnet-ic saturation effects on the performance of the drive and is applicable over the entire speed range of IPM motor operation, considering the limits of the supply’s current and voltage rated values. A DSP-based controller has been built to verify the validity of the theoretical considerations. An experimental proce-dure used to adjust its parameters, makes it quite attractive for industrial applications since knowledge of the exact motor model is not required. Simulation and experimental results under various operating con-ditions are presented to validate the high performance of the proposed controller. Preliminary work of J-4.

[C-5] Mademlis C. and Kioskeridis Ι. “Optimal Control in Switched Reluctance Motor Drives”

IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.

In this paper, the problem of performance optimization in current controlled switched reluctance motor (SRM) drives is investigated. A new method that on-line determines the optimal commutation an-gle (turn-off angle), for optimizing performance criteria of efficiency and torque ripple reduction is pro-posed. The optimal commutation angle is determined by taking into account the overlap region of flux linkage profiles in adjacent phases and an optimal condition is derived. The proposed controller measures the de-fluxing interval and, through the condition, determines the optimal value of the commutation an-gle. The effectiveness of the proposed control scheme and the operational improvements are validated by several simulation and experimental results obtained from a 4-phase, 8/6 poles, 1-hp SRM drive. Prelimi-nary work of J-9.

[C-6] Mademlis C. and Agelidis V. “Wide Speed Operation of Synchronous Reluctance Motor

Drives with a High-Performance Current Regulation Control Scheme” IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.

In this paper a high performance current vector controlled scheme for synchronous reluctance motor drives is presented. The proposed control scheme is applicable over a wide speed range of synchronous reluctance motor operation and takes into account the magnetic saturation effects on the performance of the drive. Three distinct operating regions of synchronous reluctance motor operation are examined. The limitations imposed by the current and voltage rated values of the supply unit are considered as well. The validity of the theoretical considerations and the associated control performance are examined by simula-tion and experimental results. A DSP-based controller has been built to verify the validity of the theoreti-cal considerations. Experimental results under various operating conditions are presented to validate the high-performance of the proposed controller.

[C-7] Agelidis V. and Mademlis C., “Offshore Wind Turbines, Associated Drive Technology

and Novel Multilevel Converter-Based HVDC Grid Connections” IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.


In this paper the technology associated with offshore wind farms is discussed in detail. First the var-ious offshore wind turbines are reviewed and the factors influencing their characteristics are outlined against their onshore counterparts. This overview serves as a basis for the discussion that follows regard-ing the possible electrical connection within the farm and between the farm and the grid. The voltage-source converter based HVDC connection against the HVAC one is also discussed. Finally, a novel mul-tilevel converter-based HVDC system based on flying capacitor multilevel converters is proposed as a possible interface between the farm and the grid. Preliminary work of J-5.

[C-8] Theodoulidis T. and Mademlis C., “Study on Efficiency Improvement of Single-Phase

Induction Motors”, 38th International Univ. Power Eng. Conference, UPEC 2003, vol. 1, pp. 45-48, Thessaloniki, Greece, Sept. 2003.

The problem of efficiency improvement in single-phase induction motors is studied with the primary interest being the reduction of copper losses under condition of constant torque. The theoretical analysis of the problem is presented for a capacitor-run motor and an optimal efficiency condition that relates the currents of two-stator windings is derived. The effectiveness of the proposed improved efficiency control method is verified experimentally. Preliminary work of J-11.

[C-9] Mademlis C. and Michaelides A., “Magnetic Performance of a Single Phase Induction

Motor under Triac-based Voltage Control”, 8th WSEAS Trans. on Circuits and Systems, In-ternational Conference, vol. 3, no. 5, pp. 1240-1245, Athens, Greece, July 2004.

The magnetic performance of a capacitor-run single-phase induction motor under triac-based volt-age control is examined and compared with that accomplished by the nominal voltage supply. The mag-netic field is calculated through two-dimensional finite elements in steady state, including the effect of rotor rotation. Selected calculated results are presented and the effect of a non-sinusoidal voltage supply on magnetic performance of the single-phase induction motor is discussed.

[C-10] Mademlis C. and Kioskeridis I., “Calculation of the Optimal Fire Angles in Single-Pulse Con-

trolled Switched Reluctance Generator Drives”, Intern. Conf.on Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.

In this paper, a high performance single-pulse controlled scheme for switched reluctance generator drives is presented. The high-performance of the switched reluctance generator is reached through a cor-rect balance between the criteria of high efficiency and low torque ripple. A controller is proposed, that determines the optimal turn-on and turn-off angles according to electrical load requirements and depend-ing on rotor speed and dc-link voltage. Also, the suggested controller provides smooth transition between PWM control and single-pulse control modes. Several simulation and experimental results are presented to validate the effectiveness and to demonstrate the resulting improvements of the proposed control scheme. Preliminary work of J-15.

[C-11] Michaelides A. M. and Mademlis C., “Dynamic Performance Analysis on Switched Reluc-

tance Motors and Iron Loss Calculation using the Finite Element Method”, Intern. Conf. on Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.

This paper presents the simulation of a switched reluctance drive system using a finite element - based motional solver. The results are used to accurately compute the performance of the motor, includ-ing iron losses. A transient eddy current solver, including rotation, is employed to simulate motor per-formance. The phase voltages are controlled using a user-defined “control script” that dictates the voltage across each phase winding of the motor, based on the instantaneous rotor position and phase current val-ue. Powerful scripting within the finite element analysis environment enables the user to emulate the con-trol algorithm being implemented in a real switched reluctance motor microcontroller. The rationale be-hind the iron loss formulation is also described and the physical origin of the flux variation in the differ-ent parts of the machine is explained. Thus, accurate loss results are obtained by processing the B-field waveforms ‘seen’ everywhere in the machine. Simulation and experimental results on a 4-phase, 1-hp, 8/6 SRM are presented and discussed.


[C-12] Mademlis C. and Kioskeridis I., “Smooth Transition between Optimal Control Modes in

Switched Reluctance Motoring and Generating Operation”, Intern. Conf. on Power Systems Transients, IPST’07, Lyon, France, June 2007.

This paper presents the design and implementation of a control system for switched reluctance ma-chines applicable over the entire speed range, for motoring and generating operation. The suggested con-trol system achieves high performance and smooth transition between PWM-control to single-pulse con-trol modes. The proposed controller on-line determines the optimal firing angles for all operating modes. The optimal condition of one operating mode is derived from the optimal condition of the other operating mode and thus smooth transition between the control modes is provided. The parameters of the optimal controller and the model of the test switched reluctance machine are determined experimentally. Simula-tion results under various operating conditions are presented to demonstrate the effectiveness of the pro-posed control scheme. Preliminary work of J-16.

[C-13] Mademlis C. and Kioskeridis I., “High Performance Position Control for Switched Reluc-

tance Motor Drives with the Average Torque Control Method” Intern. Conf. CEFC’2008, Athens, Greece, pp. 179, May 2008.

Aim of this paper is to investigate the problem of the position control in switched reluctance motor (SRM) drives and to develop a simple and easily implemented controller for servo drive applications. The proposed controller provides quick response and precise position control. This can be accomplished by providing smooth torque since the response and the position precision are highly influenced from the mo-tor torque ripple. A four-quadrant control scheme is proposed that is based on the average torque control method. The turn-on and turn-off angles are online determined through simple formulas to provide smooth torque operation. Several simulation and experimental results on a prototype SRM drive are pre-sented. Preliminary work of J-17.

[C-14] Mademlis C. and Kioskeridis I., “Four-Quadrant Smooth Torque Controlled Switched Re-

luctance Machine Drives”, Intern. Conf. PESC’08, Rhodos, Greece, pp. 1216-1222, June 2008.

The design of a new control scheme for a four quadrant Switched Reluctance Machine (SRM) drive is presented. The SRM drive operates over the entire speed range and provides low torque ripple with smooth transition between the control operations. The low torque ripple is achieved by controlling the firing angles through simple formulas so as to minimize the pulsations of the total current in the commu-tation region. The smooth transition is attained since the conditions that determine the firing angles of one operating mode are derived from the conditions of the other operating mode. The smooth transition between motoring and braking operation is accomplished by means of a new control technique. The SRM drive is modeled in Simulink environment and several simulation results are presented to validate the feasibility of the proposed control scheme. Preliminary work of J-16.

[C-15] Papadopoulos K. G., Mademlis C., Michaelides A. M., Riley C. P., and Coenen I., “Ad-

vanced Parametric Environment for Electrical Machines Design Optimization”, Intern. Conf. ICEM’2008, Vilamoura, Portugal, Sept. 2008.

The paper describes a template-style front-end to a generic electromagnetic modeling tool, for the analysis and optimization of Electrical Machines. A two and three-dimensional FEA model for a genera-tor and motor can be created in minutes, using templates with 'fill in the blanks' style screens. Accurate virtual prototypes can then be produced to help engineers provide answers on the performance of specific machine designs rapidly, and perform searching 'what-if?' investigations to identify the design character-istics of the perfect machine. Optimization tools are also available within the Environment, enabling en-gineers to find the 'best' solution automatically. Equally important is that the Environment is structured to allow creation and analysis of customised geometries, including special proprietary features.


[C-16] Mademlis C. and Kioskeridis I., “A Fine-Tuning Regulator for High Performance Control of Switched Reluctance Motor Drives”, Intern. Conf. MedPower’2008, Thessaloniki, Greece, Nov. 2008.

This paper presents the design of a new fine tuning regulator that on-line adjusts the speed propor-tional-integral (PI) controller parameters and provides high dynamic performance of the switched reluc-tance motor drives. The parameters of the controller are on-line adjusted according to the load torque and rotor speed. The control system is modelled as a single-input single output model and the real time esti-mation of the speed PI parameters is accomplished through a nonlinear compensation look-up table that takes into account the influence of load torque and rotor speed variation. The real-time approach im-proves the robustness of the control system and compensates the influence of the nonlinear uncertainties plus any manufacturing imperfections on the control behaviour of the motor. Moreover, the proposed fine tuning controller is capable of maintaining the torque ripple at an acceptable level over a wide speed range. Computer simulations of the switched reluctance motor drive dynamic response are employed so as to verify the theoretical analysis and to validate the operational improvements. Preliminary work of J-17.

[C-17] Mademlis C. and Kioskeridis I., “Position Control of Switched Reluctance Motors by us-

ing an Online Fine-Tuning Regulator”, Intern. Conf. Electromotion’2009, Lily, France, July 2009.

This paper investigates the problem of the position control in switched reluctance motor drives. Ad-vanced proportional-integral (PI) and proportional-differential (PD) controllers for the speed and position control, respectively, are adopted. The parameters of the controllers are on-line fine-tuned according to the load torque and rotor speed, for providing high dynamic performance and precise position control. In order to improve the set-point tracking of the drive performance, a low-pass filter is included in the posi-tion controller. The proposed four-quadrant control scheme is based on the average torque control meth-od. The turn-on and turn-off angles are on-line determined through simple formulas and the proposed fine tuning regulator is capable of maintaining the torque ripple at an acceptable level over a wide speed range. This is important since the position precision is highly influenced from the motor torque ripple. Experimental results of the switched reluctance motor dynamic response are presented to verify the theo-retical considerations and to demonstrate the effectiveness of the proposed control scheme. Preliminary work of J-17.

[C-18] Mademlis C. and Kioskeridis I., “Control Design for Maximum Efficiency of a Variable

Speed Wind Energy Conversion System”, Intern. Conf. DISTRES’2009, Nicosia, Cyprus, Dec. 2009.

This paper presents a control system for both tracking the wind turbine peak power operating point and minimizing the generator power loss. Thus, maximum efficiency is achieved along the whole wind energy conversion process. The generator is connected to the power network by means of a fully con-trolled frequency converter which consists of a pulse-width modulation (PWM) rectifier, an intermediate dc-link circuit and a PWM inverter. Field oriented control is applied and two search controllers are intro-duced that control the d- and q-axis stator current components of the generator. The peak power point of the wind turbine is determined through the one search controller by varying the q-axis stator component and, through this, the generator speed. Thus, the speed reference of the generator is dynamically modified according to the wind power. The power loss of the generator is minimized by controlling the flux-linkage according to the rotor speed and the mechanical torque. This is implemented by another search controller that controls the d-axis component of the stator current so that the generator power loss is min-imized. For the implementation of the proposed control method the knowledge of the wind turbine pa-rameters and the generator loss model are not required. The generator considered in this paper is a squir-rel cage rotor induction machine. However, the proposed control method can be applied to permanent magnet synchronous generator as well. Several simulation results are presented to validate the effective-ness of the proposed control method and to demonstrate the operational improvements.


[C-19] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Efficiency of a Wind Energy Conversion System with a PM Synchronous Generator”, Intern. Conf. MedPower’ 2010, Agia Napa, Cyprus, Nov. 2010.

In this paper, a control strategy for a Wind Energy Conversion System (WECS) is introduced aiming in both maximum power operation of the wind turbine and minimum power loss of the electrical genera-tor. The conventional configuration of ac-dc-ac topology for Permanent Magnet Synchronous Generator (PMSG) is used. The PMSG is driven by a Pulse-Width Modulation (PWM) rectifier, an intermediate dc-link circuit and a PWM inverter for the connection to the utility grid. Field oriented control technique is applied at the rectifier for the separate control of d- and q-axis stator current components of the PMSG. For this purpose, two search controllers are utilized. One search controller regulates the q-axis stator cur-rent and through this the generator speed. Thus, the reference speed of the generator is dynamically modi-fied according to the wind speed in order to maintain the wind turbine at its maximum power operating point. The second search controller regulates the d-axis current component for controlling the excitation flux of the generator, and therefore for minimizing the electrical loss of the PMSG. For the implementa-tion of the above control method, the knowledge of neither the wind turbine parameters nor the generator loss model is required. The proposed control method has been simulated in Matlab/Simulink software, and several simulation results are presented in order to validate its effectiveness and the operational im-provements. [C-20] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Electrical Energy Production of

a Variable Speed Wind Energy Conversion System”, 21th IEEE Intern. Symp. on Industrial Electronics ISIE 2012, Hangzhou, China, May 2012.

This paper proposes a control strategy for Wind Energy Conversion Systems (WECSs) aiming in both maximum power harvesting from the wind turbine and minimum power loss of the electrical genera-tor. Thus, maximum efficiency along the whole wind energy conversion process is achieved and addi-tionally expansion of the exploitable wind speed region towards the lower-speed range is accomplished. A squirrel cage induction generator connected to the power grid by means of two back-to-back converters is used. Field oriented control is applied and a system of two Search Controllers (SCs) is introduced for the control of the d- and q-axis stator current components of the generator. The maximum power at the wind turbine is achieved through the one SC by adjusting the q-axis current and through this, the genera-tor speed. Another SC is introduced in order to maximize the efficiency of the electrical generator by controlling its flux-linkage. The dynamic performance of the system is improved by introducing control loops that compensate the delayed response of the flux-linkage to the d-axis current component and pro-vide improved torque control operation. Several experimental results are presented to demonstrate the effectiveness and operational improvements of the proposed control system. [C-21] Karakasis N., Mesemanolis A. and Mademlis C., “Performance Study of Start-up Control

Techniques in a a Wind Energy Conversion System with Induction Generator”, Intern. Conf. Speedam’2012, Sorrento, Italy, June 2012.

This paper studies the performance of a Wind Energy Conversion System (WECS) with an induc-tion generator under various start-up control techniques. The capability of self-excitation of the induction generator using three control techniques is examined. The generator is connected to the power grid by means of a fully controlled frequency converter which consists of a pulse-width modulation (PWM) recti-fier, an intermediate dc-link circuit and a PWM inverter. Field oriented control is applied and Maximum Power Point Tracking (MPPT) of the wind turbine is achieved by using the Perturb & Observe (P&O) control technique. A squirrel cage induction generator is considered in this paper. The control system has been simulated using the Matlab/Simulink software and several simulation results are presented in order to demonstrate the performance of the WECS under the examined start-up control techniques. [C-22] Mesemanolis A., Mademlis C., Kioskeridis I., “A Fuzzy-Logic Based Control Strategy for

Maximum Efficiency of a Wind Energy Conversion System”, Intern. Conf. Speedam’2012, Sorrento, Italy, June 2012.


In this paper, a control method for a Wind Energy Conversion System (WECS) utilizing a Squirrel Cage Induction Generator (SCIG) is presented. Aims of the control are both maximum wind power har-vesting and minimization of the SCIG power loss, thus achieving maximum pow¬er production on any wind speed. The SCIG is connected to the utility grid through two back-to-back converters. The first converter uses Field Oriented Control to regulate the speed and the excitation of the SCIG. The proposed control system uses two Fuzzy-Logic Controllers that regulate the speed and excitation of the SCIG, im-plementing Maximum Power Point Tracking (MPPT) and Loss Minimization by regulating the speed of the generator and the excitation respectively. Thus, maximum power is extracted by the wind and addi-tionally, power output is increased by reducing the core loss of the generator. In order to improve the slow response time of the flux-linkage to the d-axis current an additional control loop has been intro-duced that improves the response time of the flux-link-age. Several experimental results are displayed that validate the operational improvements of the proposed control scheme. [C-23] Karakasis N., Mesemanolis A. and Mademlis C., “Wind Turbine Simulator for Laboratory

Testing of a Wind Energy Conversion Drive Train”, Intern. Conf. MedPower’2012, Caglia-ri, Italy, Sept. 2012.

This paper presents a wind turbine simulator for laboratory testing of a wind energy conversion drive train that includes an electric generator, gear-box, electromagnetic brake, power electronic convert-ers and controllers. The simulator consists of a 5.5-kW induction generator which is driven by a variable speed inverter and a Programmable Logic Controller (PLC) that simulates the wind turbine power speed characteristics. The simulator provides the required torque reference signal according to the wind speed input and thus, it acts like a wind turbine to the energy conversion system. Moreover, the varia-tion of wind direction and passive stall characteristics of the wind turbine could be simulated by incorporating the above aerodynamic effects in the PLC control software. Thus, a Wind Energy Conversion System (WECS) can be tested at the laboratory in wind steady-state and dynamic performance and also in stand-alone and grid connected configurations. The electric generator can be of any type of electric machines and also various control techniques for the WECS can be applied. Thus, the aerodynamic effects of yaw error, passive stall and wind turbulence on the power quality in stand-alone and grid connected wind gen-erators can be examined. This paper reports the structure, operating principle of the developed simulator and several experimental results are presented. [C-24] Mesemanolis A. and Mademlis C., “A Neural Network Based MPPT Controller for Varia-

ble Speed Wind Energy Conversion Systems”, Intern. Conf. MedPower’2012, Cagliari, Ita-ly, Sept. 2012.

In this paper, an Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) controller for Wind Energy Conversion Systems (WECS) is proposed, that achieves fast and reliable tracking of the optimum rotational speed of the turbine and accomplishes maximum power harvesting from the incident wind. The proposed control system can be implemented on any WECS and requires minimum training for the ANN as well as a small number of artificial neurons. During the training of the ANN, the WECS needs to operate simultaneously with a wind measurement system, until a sufficient amount of data is collected on all operating regions of the wind turbine and the wind turbine characteris-tics are determined. Next, the ANN is trained, having the rotational speed of the shaft and the power out-put of the generator as input signals. As a result, the wind turbine can be driven to the optimum rotor speed very fast and with high precision so as the MPPT controller can follow the fast dynamics of the wind speed. Several simulation results are presented for the validation of the effectiveness of the suggest-ed MPPT control scheme and demonstrate the operational improvements. [C-25] Mesemanolis A. and Mademlis C., “On-line estimation of induction generator parameters

using adaptive neuro-fuzzy inference systems for wind energy conversion systems”, Intern. Conf. on Renewable Energies and Power Quality ICREPQ’13, Bilbao, Spain, March 2013.

This paper proposes a new method for online estimation of the induction generator parameters by means of adaptive neuro-fuzzy inference systems (ANFIS). The suggested technique can be applied to induction generators that are used in wind energy conversion systems (WECS). The WECS structure


comprises a wind turbine, a three-phase induction generator and two back-to-back power converters. The WECS provides electric energy to the utility grid through an LCL filter. The self-adjustment of the induc-tion generator parameters provides accuracy in the implementation of the field oriented control and there-fore accomplishes optimal operation on the WECS. The proposed method is simple and, since it does not require time consuming off-line laboratory experiments, it can be easily applied to any wind energy sys-tem that is already in operation. Several simulation results will be presented in order to validate the theo-retical considerations and demonstrate the operational improvements of the proposed system. [C-26] Mesemanolis A., Mademlis C., and kioskeridis I., “Wind Speed Sensorless Maximum Ef-

ficiency Control for Wind Energy Conversion Systems”, Intern. Conf. WindPower AWEA’2013, Chicago, USA, May 2013.

A sensorless maximum efficiency control strategy for wind energy conversion systems (WECS) with squirrel cage induction generators is presented. The developed control scheme provides optimal ef-ficiency of the induction generator and maximum power extraction of the wind turbine. Additionally, expansion of the exploitable wind speed region towards the lower-speed range is accomplished. A mini-mum electric loss controller (MEL) is introduced in order to minimize the generator electric loss and a maximum power point tracking (MPPT) controller is used in order to maximize the wind turbine output power. The controllers determine the optimal d- and q- axis stator current components of the induction generator through optimal conditions. Therefore, quick dynamic response of the wind energy system is accomplished so as it can follow the fast changes of the incident wind. The implementation of the sug-gested control scheme is cost-effective because the measurement of the wind speed is not required. Moreover, neither the loss model of the induction generator nor the characteristic curves of the wind tur-bine curves are required. The effectiveness and the operational improvements of the suggested optimal control system have been verified experimentally.

[C-27] Mesemanolis A. and Mademlis C., “Self-Tuning Maximum Power Point Tracking Control

for Wind Generation Systems”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghe-ro, Italy, June 2013 (accepted).

In this paper, a new Maximum Power Point Tracking (MPPT) control scheme for wind generation systems is proposed. A new procedure based on an adaptive neuro-fuzzy training technique is proposed for the self-tuning of the MPPT controller parameters in order to compensate for the unmodeled nonline-arities and degradation due to mechanical aging of various parts of the wind turbine. The suggested con-trol scheme can be easily implemented because neither the measurement of the wind speed nor the knowledge of the wind turbine characteristics are required. Moreover, it has fast dynamic response and thus it can follow the fast dynamics of the wind. The effectiveness and fast dynamic performance of the proposed control scheme has been verified experimentally. [C-28] Mesemanolis A., Mademlis C. and Kioskeridis I., “Copper Loss Minimization in Combi-

nation with MPPT Control in a Wind Energy Conversion System with Induction Genera-tor”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (accept-ed).

In this paper, a control scheme for wind energy conversion systems (WECS) with induction genera-tor is presented that is composed of a copper loss minimization (CLM) controller and a maximum power point tracking (MPPT) controller. The CLM is accomplished by controlling the excitation current of the induction generator and the MPPT control is attained by controlling the rotational speed of the wind tur-bine. The suggested control scheme can be easily implemented because, neither the measurement of the wind speed nor the knowledge of the wind turbine characteristics are required. Moreover, it exhibits fast dynamic response and thus, it can follow the fast dynamics of the wind. The generator is connected to the power grid by means of two vector controlled back-to-back converters. Experimental results are present-ed to validate the cooperation of the CLM controller with the MPPT controller.

CURRICULUM VITAE - ΑΠΘ · Christos Mademlis / Curriculum Vitae May 2013 Page 3/37 Name: Christos...

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