Tutorial 5
T05. Model Predictive Control for Electrical Machines – Cost Function, Robust Model, and Model-Free Design
Speaker Name: Fengxiang Wang
Affiliate: Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences
Title: Professor
Email: fengxiang.wang@fjirsm.ac.cn
Speaker Name: Haotian Xie
Affiliate: Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences
Title: Associate Professor
Email: haotian.xie@fjirsm.ac.cn
Speaker Name: Yao Wei
Affiliate: Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences
Title: Assistant Professor
Email: yao.wei@fjirsm.ac.cn
Description of the Tutorial Proposal
- Introduction and Development of MPC for Transportation Electrification (mainly include comparison of FOC, DTC and PTC, in which PTC is primary, and implementation of FCS and CCS)
- Cost Function Designing (mainly include novel methods of weighting factor selection and elimination in MPC)
- Robust Model Designing (mainly include advanced observer-based MPC and model-free methods)
- Conclusion and Future Directions
- Q&A for Tutorial
- All sections including fully lecture and slides, implementation examples, theoretical analysis and experimental results displays.
Abstract
Model Predictive Control (MPC) is an advanced control strategy for electrical drives, that utilizes a plant model to predict future operating states within a finite horizon, ensuring the stability and reliability of the system. By discretizing motor dynamics and solving an optimization problem at each sampling period, MPC effectively manages nonlinear terms, constraints, and multiple objectives, and has rolling optimization capability and excellent dynamic performance when dealing with complex motor operations. This report presents the implementation of predictive control in motor driving systems and explores advanced research directions aimed at enhancing drive performance, including optimal weighting factor selection, robust model development, model-free control methodologies, etc.
Biography
Speaker 1: Fengxiang Wang was born in Jiujiang, China, in 1982. He received the B.S. degree in electronic engineering and the M.S. degree in automation from Nanchang Hangkong University, Nanchang, China, in 2005 and 2008, respectively. In 2014 he received the Ph.D. degree in Electrical Engineering at the Institute for Electrical Drive Systems and Power Electronics, Technische Universitaet Muenchen, Munich, Germany. Currently he is working as a full professor and director of Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, China. He serves as an IET Fellow, IEEE Senior Member, Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion. As General Chair, he organized the IEEE 5th International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). His research interests include advanced control for electrical drives and power electronics.
Speaker 2: Haotian Xie was born in Jiangsu Province, China, in 1990. He received the B.S. and M.Sc degrees in electronic engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013 and 2017, respectively. In 2023, he received Ph.D. degree (summa cum laude) in electrical engineering at the Chair of High-Power Converter Systems with the Department of Energy and Process Engineering at the Technical University of Munich (TUM), Munich, Germany. Currently he is working as an associate professor and principle investigator in Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, China. His research interests include predictive control, sensorless control for electrical machine drive system. Dr. Xie is the recipient of Best Paper Award for IEEE Transactions on Energy Conversion in the year 2022 and two Best Paper Awards for IEEE PRECEDE in 2019 and 2021, respectively.
Speaker 3: Yao Wei was born in Handan, China, in 1993. He received the B.S. and Ph.D. degrees in Power Electronics and Power Transmission from Yanshan University, Qinhuangdao, China, in 2015 and 2021, respectively. Since 2021 to 2024, he toward a post-doctor project at Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Jinjiang, China, where he is currently working as an assistant researcher. He serves as an IEEE Member, Senior Member of China Electrotechnical Society (CES), Member of Chinese Society for Electrical Engineering (CSEE), and Member of Chinese Association of Automation (CAA). His research interests are driving and advanced control for electric vehicles and servo systems.