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.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. ix 7. Chapter 1 Classic control strategies and practical application of permanent magnet synchronous motor - p. 1 8. Chapter 2 Research status and challenges of model predictive control in motor systems - p. 29 9. Chapter 3 Novel predictive stator flux control techniques for three-phase PMSM considering flux linkage parameter mismatch - p. 57 10. Chapter 4 Robust fault-tolerant predictive current control for three-phase PMSM considering demagnetization fault - p. 79 11. Chapter 5 Cascaded robust fault-tolerant predictive control for permanent magnet synchronous motor drives - p. 103 12. Chapter 6 Advanced robust fault-tolerant predictive control strategies for PMSM drives under parameter disturbances - p. 121 13. Chapter 7 Robust cascaded model-free stator flux sliding mode control for PMSMs considering parameters mismatch - p. 145 14. Chapter 8 Model predictive control of modular multiphase PMSM under normal conditions - p. 169 15. Chapter 9 Cascade speed and torque predictive control of modular multiphase PMSM - p. 197 16. Chapter 10 Robust predictive torque control of modular multiphase PMSM considering parameter mismatch - p. 217 17. Chapter 11 Model-free predictive flux vector control for modular multiphase PMSM drives considering parameter mismatch - p. 241 18. Chapter 12 Predictive torque and stator flux control for modular multiphase PMSM drives with parameter robustness improvement - p. 263 19. Chapter 13 Robust dual-loop cascade predictive tolerant control for modular multiphase PMSM with multiparameter mismatch fault diagnosis - p. 289 20. Chapter 14 Predictive power control of modular multiphase PM energy storage motor for urban rail transit - p. 311 21. Chapter 15 Robust predictive power control of modular multiphase PM energy storage motor with inductance parameter mismatch - p. 331 22. Index - p. 351
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.
1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the authors - p. ix 7. Chapter 1 Classic control strategies and practical application of permanent magnet synchronous motor - p. 1 8. Chapter 2 Research status and challenges of model predictive control in motor systems - p. 29 9. Chapter 3 Novel predictive stator flux control techniques for three-phase PMSM considering flux linkage parameter mismatch - p. 57 10. Chapter 4 Robust fault-tolerant predictive current control for three-phase PMSM considering demagnetization fault - p. 79 11. Chapter 5 Cascaded robust fault-tolerant predictive control for permanent magnet synchronous motor drives - p. 103 12. Chapter 6 Advanced robust fault-tolerant predictive control strategies for PMSM drives under parameter disturbances - p. 121 13. Chapter 7 Robust cascaded model-free stator flux sliding mode control for PMSMs considering parameters mismatch - p. 145 14. Chapter 8 Model predictive control of modular multiphase PMSM under normal conditions - p. 169 15. Chapter 9 Cascade speed and torque predictive control of modular multiphase PMSM - p. 197 16. Chapter 10 Robust predictive torque control of modular multiphase PMSM considering parameter mismatch - p. 217 17. Chapter 11 Model-free predictive flux vector control for modular multiphase PMSM drives considering parameter mismatch - p. 241 18. Chapter 12 Predictive torque and stator flux control for modular multiphase PMSM drives with parameter robustness improvement - p. 263 19. Chapter 13 Robust dual-loop cascade predictive tolerant control for modular multiphase PMSM with multiparameter mismatch fault diagnosis - p. 289 20. Chapter 14 Predictive power control of modular multiphase PM energy storage motor for urban rail transit - p. 311 21. Chapter 15 Robust predictive power control of modular multiphase PM energy storage motor with inductance parameter mismatch - p. 331 22. Index - p. 351
