Permanent Magnet Synchronous Machines and Drives: Flux Weakening Advanced Control Techniques

ISBN-13: 9781032330655 / Angielski

Wei Xu; Moustafa Magdi Ismail; MD Rabiul Islam

Opis

Permanent magnet synchronous motors (PMSMs) have been used in the field of electric vehicles due to their high-power density, large torque to inertia ratio, and high reliability. This book presents an improved Field-oriented control (FOC) strategy, for optimal proportional-integral (PI) parameters for robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. Combined design of a PI current regulator and a varying switching frequency PWM is presented, including improved linear model predictive control (MPC) control strategy. This book is aimed at researchers and graduate students in electrical Engineering, systems and control, and electric vehicles.

Features:

• Implements evolutionary optimization algorithms are directly implemented to improve Permanent Magnet Synchronous Machines (PMSM) performance.
• Provides coverage of PMSM control design in the flux weakening region.
• Proposes a modern control method of model predictive control is proposed to improve the dynamic performance of interior PMSM.
• Studies the dynamic performance of two kinds of the PMSMs that of surface mounted and interior permanent magnet types.
• Includes several case studies and illustrative examples with MATLAB^®.

This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.

Spis treści

1. Introduction. 2. Performance Analysis of PMSM Drive System Using Frequency Modulation Technique. 3. Adaptive Flux-Weakening Control Strategy for Non-Salient Permanent Magnet Synchronous Motor Drives. 4. Design and Optimization of Stator Current Regulators for Surface-Mounted Permanent Magnet Synchronous Motor Drives. 5. Advanced Flux-Weakening Control for Interior Permanent Magnet Synchronous Drives. 6. Modified First-Order Flux Observer–Based Speed Predictive Control of Interior Permanent Magnet Drives. 7. Adaptive Linear Model Predictive Control for Flux-Weakening Control Based on Particle Swarm Optimization. 8. Conclusions and Future Work.

O autorze

 Wei Xu (M’09-SM’13) received double BE and ME degrees from Tianjin University, Tianjin, China, in 2002 and 2005, and a PhD from the Institute of Electrical Engineering, Chinese Academy of Sciences, in 2008, respectively, all in electrical engineering. His research topics mainly cover design and control of linear/rotary machines. From 2008 to 2012, he was Postdoctoral Fellow with University of Technology Sydney, Vice Chancellor Research Fellow with Royal Melbourne Institute of Technology, and Japan Science Promotion Society Invitation Fellow with Meiji University. Since 2013, he has been a full professor with State Key Laboratory of Advanced Electromagnetic Engineering in Huazhong University of Science and Technology, China. He is a fellow of the Institute of Engineering and Technology (IET). He is the general chair of the 2021 International Symposium on Linear Drives for Industry Applications (LDIA 2021) and the 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2023), both in Wuhan, China. He has published over 140 papers and has had over 120 invention patents granted, all in the related field of electrical machines and drives. He has been the associate editor of several IEEE Transactions Journals.

Moustafa Magdi Ismail received his BE and ME degrees in electrical engineering from the Minia University, EL-Minya, Egypt, in 2011 and 2016, respectively. He also received his PhD in 2021 at the school of Electrical and Electronics Engineering, State Key Laboratory of Advanced Electromagnetic Engineering of Huazhong University of Science and Technology, Wuhan, China. He has been awarded an honorary International Graduate Certificate for his PhD. He is currently employed as an assistant professor at Minia University. In 2021, he started teaching at the Higher Institute of Engineering and Technology in New Minya city.  He has published scientific papers in both international conferences and high-quality SCI journals. He serves as a reviewer for IEEE Transactions journals (TVT, TIE, TTE, TPEL, TEC, and IAS), IEEE-JESTIE, and IEEE Access. He was selected as one of the top reviewers for IEEE Transactions on Vehicular Technology in 2020. His current research interests include electric machinery, inverter systems, smart grids, modelling and control design of electric vehicles, predictive plant model, predictive control design, and optimization algorithms.

Md. Rabiul Islam received a PhD degree from the University of Technology Sydney (UTS), Sydney, Australia, in electrical engineering in 2014. He is currently a senior lecturer with the School of Electrical, Computer, and Telecommunications Engineering (SECTE), University of Wollongong (UOW), New South Wales, Australia. He is a senior member of IEEE. His research interests are in the fields of power electronic converters, renewable energy technologies, power quality, electrical machines, electric vehicles, and smart grids. He has authored or co-authored more than 330 papers, including about 100 IEEE Transactions/IEEE Journal papers. He has written or edited seven technical books. He has received several best paper awards, including two best paper recognitions from IEEE Transactions on Energy Conversion in 2020. He is serving as an associate editor for IEEE Transactions on Industrial Electronics, IEEE Transactions on Energy Conversion, IEEE Power Engineering Letters, and IEEE Access. As a lead guest editor, he organized the first joint IEEE Industrial Electronics Society and IEEE Power & Energy Society special section entitled "Advances in High-Frequency Isolated Power Converters". He is an editor of the book series entitled Advances in Power Electronic Converters for CRC Press, Taylor & Francis Group. He has received funding from several governments and industries, including in total $5.48 million from the Australian government through the Australian Research Council (ARC) Discovery Project (DP) 2020 entitled A Next Generation Smart Solid-State Transformer for Power Grid Applications and an ARC Industrial Transformation Training Centre Project 2021 entitled ARC Training Centre in Energy Technologies for Future Grids.