volume | PIER Journals

Abstract

Double Parallel Rotor Permanent Magnet Synchronous Motors exhibit superior performance and compact size, but the growing trend of electrification imposes higher demands on them. This study proposes a predictive fault-tolerant control integrating a closed-loop identification model and conducts experiments on Double Parallel Rotor Permanent Magnet Synchronous Motors. Results indicated that the proposed closed-loop identification model, along with its fractional-order lead-lag compensator module, effectively optimized motor performance, reducing average tracking error by 78.36%. Additionally, with demagnetization faults, the predictive fault-tolerant control outperformed traditional fault-tolerant control in speed, current, and torque fault-tolerant control, demonstrating superior performance. Through 10 weeks of practical application records, Double Parallel Rotor Permanent Magnet Synchronous Motors achieved a working accuracy of 95%-99% under the closed-loop identification model, with recall rates reaching 92%-96% in fault-tolerant scenarios. In both natural and simulated demagnetization fault situations, 97.69% of Double Parallel Rotor Permanent Magnet Synchronous Motors could continue normal operation. This research holds positive significance for the development of motor systems and enhancing their adaptability in the trend of electrification.

1. Jensen, Kristopher T., Naama Kadmon Harpaz, Ashesh K. Dhawale, Steffen B. E. Wolff, and Bence P. Ölveczky, "Long-term stability of single neuron activity in the motor system," Nature Neuroscience, Vol. 25, No. 12, 1664-1674, 2022. Google Scholar

2. Błaszczyk, Janusz W., Artur Fredyk, Paweł M. Błaszczyk, and Mohammed Ashtiani, "Step response of human motor system as a measure of postural stability in children," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 4, 895-903, 2020. Google Scholar

3. Thanh, Pham Tuan, Tran Xuan Tinh, Dao Phuong Nam, Dao Sy Luat, and Nguyen Hong Quang, "On finite-time output feedback sliding mode control of an elastic multi-motor system," International Journal of Power Electronics and Drive System (IJPEDS), Vol. 12, No. 1, 10-19, 2021.
doi:10.11591/ijpeds.v12.i1.pp10-19 Google Scholar

4. Wellendorf, Axel, Patrick Tichelmann, and Joachim Uhl, "Performance analysis of a dynamic test bench based on a linear direct drive," Archives of Advanced Engineering Science, Vol. 1, No. 1, 55-62, 2023.
doi:10.47852/bonviewAAES3202902 Google Scholar

5. Cannon, Jonathan J. and Aniruddh D. Patel, "How beat perception co-opts motor neurophysiology," Trends in Cognitive Sciences, Vol. 25, No. 2, 137-150, 2021. Google Scholar

6. Peng, Shihao, Guozheng Zhang, Zhanqing Zhou, Xin Gu, and Changliang Xia, "MPTC of NP‐clamped three‐level inverter‐fed permanent‐magnet synchronous motor system for NP potential imbalance suppression," IET Electric Power Applications, Vol. 14, No. 4, 658-667, 2020. Google Scholar

7. Yan, Bo, Yubo Yang, and Xiuhe Wang, "Design of a large capacity line-start permanent magnet synchronous motor equipped with hybrid salient rotor," IEEE Transactions on Industrial Electronics, Vol. 68, No. 8, 6662-6671, 2020. Google Scholar

8. Ladghem-Chikouche, Brahim, Kamel Boughrara, Frédéric Dubas, Lazhar Roubache, and Rachid Ibtiouen, "Semi-analytical magnetic field calculation for dual-rotor permanent-magnet synchronous machines by using hybrid model," IEEE Transactions on Magnetics, Vol. 58, No. 1, 1-10, 2021. Google Scholar

9. Wu, Jiacheng, Yan Hu, Bingyi Zhang, Guihong Feng, and Zeyu Liu, "Comparison and analysis of different rotor structures of double-stator permanent magnet synchronous motor," IET Electric Power Applications, Vol. 16, No. 6, 685-700, 2022. Google Scholar

10. Ghaffarpour, Ali and Mojtaba Mirsalim, "Split-tooth double-rotor permanent magnet switched reluctance motor," IEEE Transactions on Transportation Electrification, Vol. 8, No. 2, 2400-2411, 2022. Google Scholar

11. Allahyari, Arash and Hossein Torkaman, "A novel high-performance consequent pole dual rotor permanent magnet Vernier machine," IEEE Transactions on Energy Conversion, Vol. 35, No. 3, 1238-1246, 2020. Google Scholar

12. Sun, Xiaodong, Zhijia Jin, Yingfeng Cai, Zebin Yang, and Long Chen, "Grey wolf optimization algorithm based state feedback control for a bearingless permanent magnet synchronous machine," IEEE Transactions on Power Electronics, Vol. 35, No. 12, 13631-13640, 2020. Google Scholar

13. 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. Google Scholar

14. Zuo, Yuefei, Xiaoyong Zhu, Xiang Si, and Christopher H. T. Lee, "Fault-tolerant control for multiple open-leg faults in open-end winding permanent magnet synchronous motor system based on winding reconnection," IEEE Transactions on Power Electronics, Vol. 36, No. 5, 6068-6078, 2020. Google Scholar

15. Jlassi, Imed and Antonio J. Marques Cardoso, "Open-circuit fault-tolerant operation of permanent magnet synchronous generator drives for wind turbine systems using a computationally efficient model predictive current control," IET Electric Power Applications, Vol. 15, No. 7, 837-846, 2021. Google Scholar

16. Ugale, Rajaram Tukaram and Bhalchandra Nemichand Chaudhari, "Performance enhancement of line start permanent magnet synchronous motor with a special consequent pole rotor," IEEE Transactions on Energy Conversion, Vol. 36, No. 3, 1972-1982, 2020. Google Scholar

17. Deng, Wenzhe, Shuguang Zuo, Wei Chen, Zhe Qian, Cheng Qian, and Wenping Cao, "Comparison of eccentricity impact on electromagnetic forces in internal-and external-rotor permanent magnet synchronous motors," IEEE Transactions on Transportation Electrification, Vol. 8, No. 1, 1242-1254, 2021. Google Scholar

18. Zhao, Hang, Chunhua Liu, Zaixin Song, and Senyi Liu, "Design and control of a new compound double-rotor electric machine for hybrid propulsion system," IEEE Transactions on Power Electronics, Vol. 37, No. 3, 3283-3296, 2021. Google Scholar

Dr. Hai Pu