Abstract

Aiming at the issues of large current ripple and significant torque pulsation in switched reluctance motor (SRM) model predictive current control (MPCC) under varying operating conditions, this paper innovatively proposes a novel SRM model predictive current control method integrating an Extended State Observer (ESO) and the Lehuy model. By constructing a nonlinear current prediction framework based on the Lehuy model, the data dependency on traditional Look-Up Table (LUT) methods is significantly reduced. Meanwhile, the real-time compensation of system disturbances is achieved by introducing the ESO, resolving parameter mismatch issues under dynamic operating conditions. Simulated and experimental results demonstrate that this method, implemented on a 12/8-pole SRM prototype, achieves a current ripple reduction of 41.5% and torque pulsation suppression of 32.7% compared to traditional LUT-MPCC. This research provides new insights into the robust control of SRMs in high-precision servo scenarios.

1. Sun, Xiaodong, Nuonuo Wang, Ming Yao, and Gang Lei, "Position sensorless control of switched reluctance motors based on angle adjustment using nonlinear inductance and flux model," IEEE Transactions on Industrial Electronics, Vol. 71, No. 12, 15467-15477, 2024.
doi:

2. Wang, Huijun, Yanhong Xue, Juncheng Du, and He Li, "Design and evaluation of modular stator hybrid-excitation switched reluctance motor for torque performance improvementWang,Huijun and Xue,Yanhong and Du,Juncheng and Li,He12814-12823WangHuijunYanhong Xue, Juncheng Du, He LiIEEE Transactions on Industrial Electronics711281412823

2024journal301 Moved Permanently," <i>IEEE Transactions on Industrial Electronics</i>, Vol. 71, No. 10, 12814-12823, 2024.<br><a href='http://dx.doi.org/<head><title>301 Moved Permanently '>doi:301 Moved Permanently

3. Davarpanah, Gholamreza, Jawad Faiz, Hossein Shirzad, and Majid Lotfizadeh, "A modular hybrid excited switched reluctance motor with two groups of permanent magnets to enhance the performance of the Motor," IEEE Transactions on Energy Conversion, Vol. 39, No. 3, 1686-1698, 2024.

4. Tarımer, İ. and R. Gurbuz, "Sizing of electrical motors for gearless and directly stimulating applications," Elektronika Ir Elektrotechnika, Vol. 84, No. 4, 21-26, 2008.
doi:

301 Moved Permanently

5. Jabari, Mostafa and Amin Rad, "Optimization of speed control and reduction of torque ripple in switched reluctance motors using metaheuristic algorithms based PID and FOPID controllers at the edge," Tsinghua Science and Technology, Vol. 30, No. 4, 1526-1538, 2025.

6. Cai, Jun, Xiaolan Dou, Adrian David Cheok, Wen Ding, Ying Yan, and Xin Zhang, "Model predictive control strategies in switched reluctance motor drives --- An overview," IEEE Transactions on Power Electronics, Vol. 40, No. 1, 1669-1685, 2025.
doi:

7. Mohanraj, Deepak, Janaki Gopalakrishnan, Bharatiraja Chokkalingam, and Joseph Olorunfemi Ojo, "An enhanced model predictive direct torque control of SRM drive based on a novel modified switching strategy for low torque ripple," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 12, No. 2, 2203-2213, 2024.

8. Ali, T. Faheem, D. Arun Dominic, and Prajof Prabhakaran, "A systematic approach to digital control development for four-phase SRM drive using single current sensor for medium power applications," IEEE Access, Vol. 12, 34074-34088, 2024.

9. Fang, Gaoliang, Jin Ye, Dianxun Xiao, Zekun Xia, and Ali Emadi, "Computational-efficient model predictive torque control for switched reluctance machines with linear-model-based equivalent transformations," IEEE Transactions on Industrial Electronics, Vol. 69, No. 6, 5465-5477, 2022.

10. Ren, Ping, Jingwei Zhu, Yonghan Liu, Yan Zhao, and Zhe Jing, "An improved model-predictive torque control of switched reluctance motor based on sector adaptive allocation technology," IEEE Transactions on Power Electronics, Vol. 39, No. 4, 4567-4577, 2024.

11. Li, Xin and Pourya Shamsi, "Model predictive current control of switched reluctance motors with inductance auto-calibration," IEEE Transactions on Industrial Electronics, Vol. 63, No. 6, 3934-3941, 2016.

12. Han, Guoqiang, Lin Zhang, Yige Wang, Shuai Xu, and Dongsheng Yu, "Variable switching point model-free predictive current control strategy for SRM," IEEE Transactions on Industrial Electronics, Vol. 72, No. 5, 4470-4480, 2025.

13. Nassereddine, Kawsar, Marek Turzynski, Halyna Bielokha, and Ryszard Strzelecki, "Simulation of energy management system using model predictive control in AC/DC microgrid," Scientific Reports, Vol. 15, No. 1, 5388, 2025.

14. Chen, Zifeng, Hao Jing, Xinghao Wang, Xueqing Wang, Gaoliang Fang, Hang Zhao, and Dianxun Xiao, "General-purpose high-speed position-sensorless control of switched reluctance motors using single-phase adaptive observer," IEEE Transactions on Transportation Electrification, Vol. 10, No. 3, 5241-5249, 2024.

15. Sun, Chao, Xiaodong Sun, Cristian Garcia, Jose Rodriguez, Zebin Yang, and Shouyi Han, "Model predictive current control of six-phase switched reluctance motor with enhanced robustness based on improved lehuy model," IEEE Transactions on Transportation Electrification, Vol. 11, No. 2, 6177-6187, 2025.

16. Yang, Wenhao, Shihong Ding, and Chen Ding, "Fast supertwisting sliding mode control with antipeaking extended state observer for path-tracking of unmanned agricultural vehicles," IEEE Transactions on Industrial Electronics, Vol. 71, No. 10, 12973-12982, 2024.

17. Zhang, Xiaoguang, Xiang Yu, and Guofu Zhang, "Adaptive model predictive current control for PMSM drives based on bayesian inference," IEEE Transactions on Power Electronics, Vol. 40, No. 6, 8490-8502, 2025.

18. Oliveri, Alberto, Matteo Lodi, and Marco Storace, "Nonlinear models of power inductors: A survey," International Journal of Circuit Theory and Applications, Vol. 50, No. 1, 2-34, 2022.

19. Feng, Liyun, Xiaodong Sun, Gerd Bramerdorfer, Zhen Zhu, Yingfeng Cai, Kaikai Diao, and Long Chen, "A review on control techniques of switched reluctance motors for performance improvement," Renewable and Sustainable Energy Reviews, Vol. 199, 114454, 2024.

Dr. Xiong Su

Professor Aide Xu

Dr. Shining Lin

301 Moved Permanently