volume | PIER Journals

Abstract

Aiming at the problem of low robustness of fuzzy adaptive control when it is applied to permanent magnet synchronous motor system (PMSM), the study introduced the sliding film control method to optimize it, so as to enhance the robustness of PMSM. The results demonstrated that the torque error of the adaptive fuzzy sliding mode control(AFSMC) was 1.86 Nm, which is 62.8% and 38% less than the peak torque pulsation of 5 Nm and 3 Nm for the fuzzy adaptive control, respectively, and indicates a better steady-state capability when the motor is operated at 1500 rpm and 30 Nm load. In addition, in the robustness validation experiments, under the initial stage, the two methods have the same rotational speed response, but after the parameter changes, the AFSMC adjusts quickly, while the traditional fuzzy adaptive control responds slowly. Moreover, under the same load inertia, the AFSMC exhibits smaller overshoot and faster regulation, smaller speed fluctuation and faster recovery during load surge. In complex scenarios, AFSMC reduces recovery time by 60% over traditional control methods, which demonstrates that the fuzzy adaptive sliding film control proposed by the study is successful in enhancing the system's stability and capability when the PMSM is applied.

1. Zhang, Jiayuan, Wei Zhan, and Mehrdad Ehsani, "Diagnosis and fault-tolerant control of permanent magnet synchronous motors with interturn short-circuit fault," IEEE Transactions on Control Systems Technology, Vol. 31, No. 4, 1909-1916, 2023.

2. Li, Ye, Qi Li, Tao Fan, and Xuhui Wen, "Heat dissipation design of end winding of permanent magnet synchronous motor for electric vehicle," Energy Reports, Vol. 9, 282-288, 2023.

3. Yan, Bo, Xianglin Li, Xiuhe Wang, Yubo Yang, and Daolian Chen, "An improved 2-D subdomain method toward electromagnetic-performance analysis of line-start permanent magnet synchronous motor," IEEE Transactions on Transportation Electrification, Vol. 9, No. 3, 4339-4351, 2023.

4. Xu, Hao, Dengxiu Yu, Shuai Sui, and C. L. Philip Chen, "An event-triggered predefined time decentralized output feedback fuzzy adaptive control method for interconnected systems," IEEE Transactions on Fuzzy Systems, Vol. 31, No. 2, 631-644, 2022.

5. Kumar, Rahul, Uday Pratap Singh, Arun Bali, Siddharth Singh Chouhan, and Anoop Kumar Tiwari, "Adaptive control of unknown fuzzy disturbance-based uncertain nonlinear systems: Application to hypersonic flight dynamics," The Journal of Analysis, Vol. 32, No. 3, 1395-1414, 2024.

6. Xu, Bo, Yuan-Xin Li, and Choon Ki Ahn, "Small-gain approach to fuzzy adaptive control for interconnected systems with unmodeled dynamics," IEEE Transactions on Fuzzy Systems, Vol. 30, No. 11, 4702-4716, 2022.

7. Sui, Shuai, C. L. Philip Chen, and Shaocheng Tong, "Event-trigger-based finite-time fuzzy adaptive control for stochastic nonlinear system with unmodeled dynamics," IEEE Transactions on Fuzzy Systems, Vol. 29, No. 7, 1914-1926, 2020.

8. Huang, Haohui, Chenguang Yang, and C. L. Philip Chen, "Optimal robot-environment interaction under broad fuzzy neural adaptive control," IEEE Transactions on Cybernetics, Vol. 51, No. 7, 3824-3835, 2020.

9. Yang, Dong, Guangdeng Zong, and Shun-Feng Su, "H∞ tracking control of uncertain markovian hybrid switching systems: A fuzzy switching dynamic adaptive control approach," IEEE Transactions on Cybernetics, Vol. 52, No. 5, 3111-3122, 2020.

10. Zong, Guangdeng, Dong Yang, James Lam, and Xiaoqi Song, "Fault-tolerant control of switched LPV systems: A bumpless transfer approach," IEEE/ASME Transactions on Mechatronics, Vol. 27, No. 3, 1436-1446, 2022.
doi:10.1109/TMECH.2021.3096375

11. Ren, Hong Ru, Hui Ma, Hong Yi Li, and Ren Quan Lu, "A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems," Science China Technological Sciences, Vol. 66, No. 2, 456-467, 2023.

12. Zheng, Weijia, Yangquan Chen, Xiaohong Wang, Runquan Huang, Meijin Lin, and Fang Guo, "Fractional order sliding mode control for permanent magnet synchronous motor speed servo system via an improved disturbance observer," International Journal of Control, Automation and Systems, Vol. 21, No. 4, 1143-1153, 2023.

13. Rafaq, Muhammad Saad, Will Midgley, and Thomas Steffen, "A review of the state of the art of torque ripple minimization techniques for permanent magnet synchronous motors," IEEE Transactions on Industrial Informatics, Vol. 20, No. 1, 1019-1031, 2023.

14. Fang, Shuhua, Yicheng Wang, Wei Wang, Youxu Chen, and Yong Chen, "Design of permanent magnet synchronous motor servo system based on improved particle swarm optimization," IEEE Transactions on Power Electronics, Vol. 37, No. 5, 5833-5846, 2021.

15. Yu, Yanlei, Yulong Pei, Feng Chai, and Martin Doppelbauer, "Performance comparison between permanent magnet synchronous motor and Vernier motor for in-wheel direct drive," IEEE Transactions on Industrial Electronics, Vol. 70, No. 8, 7761-7772, 2022.

16. Wu, Jian, Furong He, Xiaoguang He, and Jing Li, "Dynamic event-triggered fuzzy adaptive control for non-strict-feedback stochastic nonlinear systems with injection and deception attacks," International Journal of Fuzzy Systems, Vol. 25, No. 3, 1144-1155, 2023.

17. Suganthi, S. and R. Karpagam, "Dynamic performance improvement of PMSM drive using fuzzy-based adaptive control strategy for EV applications," Journal of Power Electronics, Vol. 23, No. 3, 510-521, 2023.

18. Dınakın, Demilade and Peter Oluseyi, "Fuzzy-Optimized model reference adaptive control of interacting and noninteracting processes based on MIT and Lyapunov rules," Turkish Journal of Engineering, Vol. 5, No. 4, 141-153, 2021.

19. Sun, Xiaodong, Feng Cai, Zebin Yang, and Xiang Tian, "Finite position control of interior permanent magnet synchronous motors at low speed," IEEE Transactions on Power Electronics, Vol. 37, No. 7, 7729-7738, 2022.

20. Shih, Kai-Jung, Min-Fu Hsieh, Bo-Jia Chen, and Shih-Feng Huang, "Machine learning for inter-turn short-circuit fault diagnosis in permanent magnet synchronous motors," IEEE Transactions on Magnetics, Vol. 58, No. 8, 1-7, 2022.

21. Holanda, J., C. L. A. V. Campos, C. A. Franca, and E. Padrón-Hernández, "Effective surface anisotropy in polycrystalline ferromagnetic nanowires," Journal of Alloys and Compounds, Vol. 617, 639-641, 2014.

22. Holanda, José, "Analyzing the magnetic interactions in nanostructures that are candidates for applications in spintronics," Journal of Physics D: Applied Physics, Vol. 54, No. 24, 245004, 2021.

23. Silva, Wibson W. G., Luana M. C. S. Hildever, Maria C. G. Santos, Francisco Estrada, and José Holanda, "Analyzing the magnetic influence on magneto-optical interactions," Journal of Superconductivity and Novel Magnetism, Vol. 36, No. 3, 951-955, 2023.

Dr. Xuhong Yang

Dr. Chenhao Li

Dr. Sujie Zhang

Dr. Fengwei Qian