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Model Predictive Current Control of Fault-Tolerant Permanent Magnet Rim Drive Motor Based on Six-Phase Stationary Coordinate System

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Abstract

Aiming at the problems of large computation and complex fault-tolerant control strategy in the application of traditional model predictive current control (MPCC) strategy for six-phase fault-tolerant permanent magnet rim drive motor (FTPM-RDM), a six-phase stationary coordinate system based MPCC (SPSCS-MPCC) strategy is proposed. At a fixed sampling frequency, the six-phase current is calculated from the current moment rotor position, speed, and fault-tolerant control strategy. Furthermore, the six-phase current is predicted independently in two rounds. The optimal switching combination of the six-phase H-bridge inverter circuit is determined by cost function to achieve the MPCC of the FTPM-RDM. Then, the hardware experimental platform based on StarSim is designed. The experimental results demonstrate that the SPSCS-MPCC proposed in this paper not only has the advantages of a simple algorithm and low motor torque pulsation under fault-free and open-circuit faults but also takes into account the fast dynamic response of traditional MPCC algorithms.

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References

  1. Ojaghlu P, Vahedi A (2019) Specification and design of ring winding axial flux motor for rim-driven thruster of ship electric propulsion. IEEE Trans Veh Technol 68(2):1318–1326

    Article  Google Scholar 

  2. Tianhuai Q, Jingwei Z, Rui Ma (2021) Design and optimization of flux-modulated fault-tolerant permanent magnet rim-driven machine. J Dalian Marit Univ 47(04):100–107

    Google Scholar 

  3. Bukhari SSH et al (2022) Novel self-excited brush-less wound field Vernier machine topology. IEEE Access 10:97868–97878

    Article  Google Scholar 

  4. Tariq S, Ikram J, Bukhari SSH, Ali Q, Hussain A, Ro J-S (2022) Design and analysis of single inverter-fed brushless wound rotor Vernier machine. IEEE Access 10:101609–101621

    Article  Google Scholar 

  5. Bukhari SSH, Shah MA, Rodas J, Bajaj M, Ro J-S (2022) Novel sub-harmonic-based self-excited brushless wound rotor synchronous machine. IEEE Can J Electr Comput Eng 45(4):365–374

    Article  Google Scholar 

  6. Guzman H, Duran MJ, Barrero F, Bogado B, Toral S (2014) Speed control of five-phase induction motors with integrated open-phase fault operation using model-based predictive current control techniques. IEEE Trans Industr Electron 61(9):4474–4484

    Article  Google Scholar 

  7. Lu H, Li J, Qu R, Ye D, Xiao L (2017) Reduction of unbalanced axial magnetic force in postfault operation of a novel six-phase double-stator axial-flux PM machine using model predictive control. IEEE Trans Ind Appl 53(6):5461–5469

    Article  Google Scholar 

  8. Chen J, Qin Y, Bozorgi AM, Farasat M (2020) Low complexity dual-vector model predictive current control for surface-mounted permanent magnet synchronous motor drives. IEEE J Emerg Sel Top Power Electron 8(3):2655–2663

    Article  Google Scholar 

  9. Chen J, Zhang Y (2020) Dual-vector model predictive current control of permanent magnet synchronous motor drives with the segment golden search method. IEEE Access 8:183826–183846

    Article  Google Scholar 

  10. Xu D, Zhao W, Tang H, Song X, Xue R (2021) Three-vector-based model predictive current control with zero-sequence current suppression for open-winding LPMVM drives. IEEE Trans Veh Technol 70(1):225–236

    Article  Google Scholar 

  11. Xu B, Jiang Q, Ji W, Ding S (2022) An improved three-vector-based model predictive current control method for surface-mounted PMSM drives. IEEE Trans Trans Electr 8(4):4418–4430

    Article  Google Scholar 

  12. Vazquez S, Rodriguez J, Rivera M, Franquelo LG, Norambuena M (2017) Model predictive control for power converters and drives: advances and trends. IEEE Trans Ind Electron 64(2):935947

    Article  Google Scholar 

  13. Cheng M, Yu F, Chau KT, Hua W (2016) Dynamic performance evaluation of a nine-phase flux-switching permanent-magnet motor drive with model predictive control. IEEE Trans Ind Electron 63(7):4539–4549

    Article  Google Scholar 

  14. An X, Liu G, Chen Q, Zhao W, Song X (2021) Robust predictive current control for fault-tolerant operation of five-phase PM motors based on online stator inductance identification. IEEE Trans Power Electron 36(11):13162–13175. https://doi.org/10.1109/TPEL.2021.3077235

    Article  Google Scholar 

  15. Guzman H et al (2016) Comparative study of predictive and resonant controllers in fault-tolerant five-phase induction motor drives. IEEE Trans Ind Electron 63(1):606–617

    Article  Google Scholar 

  16. Gonçalves PFC, Cruz SMA, Mendes AMS (2023) Fault-tolerant predictive current control of six-phase PMSMs with minimal reconfiguration requirements. IEEE J Emerg Sel Topics Power Electron 11(2):2084–2093

    Article  Google Scholar 

  17. Wenhan C, Dan S (2021) Wang Mingze. Research on fault-tolerance strategy based on model predictive control for open-winding PMSM System under Open-Phase Fault. Trans Electrotech Soc 36(01):77–86

    Google Scholar 

  18. Tao T, Wenxiang Z, Jinghua Ji et al (2021) Multi-vector model predictive fault-tolerant current control using reconstructed vector distribution for five-phase PM motor (in Chinese). Sci Sin Tech 51:1419–1428

    Article  Google Scholar 

  19. Xueqing W, Wang Zheng Xu, Zhixian, et al (2021) Deadbeat predictive current control-based fault-tolerant scheme for dual three-phase PMSM drives. IEEE J Emerg Sel Top Power Electron 9(2):1591–1604

    Article  Google Scholar 

  20. Zhou S, Xiaodong S, Yanling L et al (2020) Fault-tolerant model predictive current control of five-phase permanent magnet synchronous hub motor considering current constraints. IEEE Veh Power Propuls Conf (VPPC) 2020:1–5

    Google Scholar 

  21. Xiaodong S, Teng Li, Xiang T et al (2022) Fault-tolerant operation of a six-phase permanent magnet synchronous hub motor based on model predictive current control with virtual voltage vectors. IEEE Trans Energy Convers 37(1):337–346

    Article  Google Scholar 

  22. Yanming Ji, Hongge Z, Jingwei Z (2019) Direct torque control strategy of permanent magnet fault-tolerant rim driven motor under open circuit fault. J Dalian Marit Univ 45(04):110–116

    Google Scholar 

  23. Rui Ma, Jingwei Z, Qianhong L et al (2019) Influence of winding distribution on fault tolerant performance in a fault-tolerant permanent magnet rim driven motor. IEEE Access 7:183236–183244

    Article  Google Scholar 

  24. Xiaoqing L, Jingwei Z, Junhao S et al (2016) Study on the vector control system for dual winding fault-tolerant permanent magnet motors. Trans Electrotech Soc 31(05):26–34

    Google Scholar 

  25. Zhang Y, Huang L, Xu D et al (2018) Performance evaluation of two-vector-based model predictive current control of PMSM drives. Chin J Electr Eng 4(2):65–81

    Article  Google Scholar 

  26. Chaonan L, Zhiyuan P, Jinliang W, et al. Development of distributed photovoltaic grid-connected simulation system based on starsim platform. In: 2020 IEEE 3rd Student Conference on Electrical Machines and Systems, 2020: 843–84.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 52377037, in part by the Fundamental Research Funds for the Central Universities of China under Grant 3132023522, and in part by the Stability Support Project of the Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology under Grant WDZC20235250309.

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  1. Dalian Maritime University, Dalian, China

    Tianrui Zhao, Jingwei Zhu, Mingxuan Li, Kun Zang & Haibo Liao

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  1. Tianrui Zhao
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  2. Jingwei Zhu
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  3. Mingxuan Li
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  4. Kun Zang
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Correspondence to Jingwei Zhu.

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Zhao, T., Zhu, J., Li, M. et al. Model Predictive Current Control of Fault-Tolerant Permanent Magnet Rim Drive Motor Based on Six-Phase Stationary Coordinate System. J. Electr. Eng. Technol. 19, 2337–2346 (2024). https://doi.org/10.1007/s42835-023-01715-5

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