Robust Model Predictive Control of Permanent Magnet Synchronous Motor Under Parameter Mismatch
Will be published approx. on 30. July 2026
Book
Paperback/Softback
360 pages
978-0-443-44209-4 (ISBN)
Description
Robust Model Predictive Control of Permanent Magnet Synchronous Motor Under Parameter Mismatch covers permanent magnet synchronous motors (PMSMs), an essential element of electromechanical systems like urban rail vehicles and wind power generation thanks to their fast torque response and wide speed range. This book presents improved MPC methods to enhance robustness against parameter mismatches. It aims to help researchers understand advanced motor control strategies and assist engineers in effectively applying these algorithms to improve the operational performance of industrial motor systems.
Model predictive control (MPC) offers high accuracy and dynamic response, making it suitable for PMSMs. However, MPC relies on accurate motor parameters, which may vary over time, leading to mismatches that affect performance. These mismatches can cause unstable switching frequencies and increased torque/flux ripples, becoming a common fault in PMSM systems.
Model predictive control (MPC) offers high accuracy and dynamic response, making it suitable for PMSMs. However, MPC relies on accurate motor parameters, which may vary over time, leading to mismatches that affect performance. These mismatches can cause unstable switching frequencies and increased torque/flux ripples, becoming a common fault in PMSM systems.
More details
Persons
Gongping Wu received the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2021. He studied with College of Electronic and Information Engineering, Tongji University, Shanghai, China, from September 2011 to September 2013. From 2019 to 2021, he was a Visiting student with the Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark. He is an Associate Professor with the College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China. His current research interests include motor fault diagnosis, model predictive control, and permanent magnet synchronous motor systems.
Content
1. Classic Control Strategies and Practical Application of Permanent Magnet Synchronous Motor
2. Research Status and Challenges of Model Predictive Control in Motor Systems
3. Modeling and Parameters Sensitivity Analysis of PMSM Under Parameter Mismatch
4. Model Predictive Control of PMSM Under Normal Conditions
5. Novel Predictive Stator Flux Control Techniques for Three-phase PMSM Considering Flux Linkage Parameter Mismatch
6. Robust Fault-Tolerant Predictive Current Control for Three-phase PMSM Considering Demagnetization Fault
7. Robust Cascaded Model-Free Tolerant Control With Parameters Mismatch Fault Diagnosis for Three-phase PMSM
8. Robust Cascaded Predictive Voltage Control for Three-phase PMSM Without Model Parameter Dependency
9. Robust Predictive Torque Control of Modular PMSM for High Power Traction Application Under Parameter Mismatch
10. Model-free Predictive Flux Vector Control for Modular PMSM Considering Parameters Mismatch
11. Predictive Torque and Stator Flux Control for Modular PMSM With Parameter Robustness Improvement
12. Robust Predictive Power Control of Modular PMSM with Inductance Parameter Mismatch
2. Research Status and Challenges of Model Predictive Control in Motor Systems
3. Modeling and Parameters Sensitivity Analysis of PMSM Under Parameter Mismatch
4. Model Predictive Control of PMSM Under Normal Conditions
5. Novel Predictive Stator Flux Control Techniques for Three-phase PMSM Considering Flux Linkage Parameter Mismatch
6. Robust Fault-Tolerant Predictive Current Control for Three-phase PMSM Considering Demagnetization Fault
7. Robust Cascaded Model-Free Tolerant Control With Parameters Mismatch Fault Diagnosis for Three-phase PMSM
8. Robust Cascaded Predictive Voltage Control for Three-phase PMSM Without Model Parameter Dependency
9. Robust Predictive Torque Control of Modular PMSM for High Power Traction Application Under Parameter Mismatch
10. Model-free Predictive Flux Vector Control for Modular PMSM Considering Parameters Mismatch
11. Predictive Torque and Stator Flux Control for Modular PMSM With Parameter Robustness Improvement
12. Robust Predictive Power Control of Modular PMSM with Inductance Parameter Mismatch