volume | PIER Journals

Abstract

Model predictive current control (MPCC) suffers from high computational effort, and control performance is affected by parameter mismatch. In this paper, a robust MPCC strategy with low complexity for permanent magnet synchronous motor (PMSM) is proposed, which reduces the computational complexity and improves robustness. First, a low-pass filter is used to obtain the current actual voltage, and the next-cycle voltage vector is obtained by angle compensation. And alternative voltage vectors (AVVs) are selected according to the location of the next-cycle voltage vector to reduce the control system computation. This part does not use motor parameters to avoid the influence of parameter changes. Then, the relationship between the current error and the input voltage and current sampling value is analysed. A low-complexity current prediction error compensation algorithm is designed to compensate the error caused by the mismatch of motor inductance and flux linkage, which enhances the robustness of the system. Finally, the experimental results demonstrate the correctness and effectiveness of the proposed strategy.

1. Kefalas, T. D. and A. G. Kladas, "Thermal investigation of Permanent-Magnet synchronous motor for aerospace applications," IEEE Transactions on Industrial Electronics, Vol. 61, No. 8, 4404-4411, Aug. 2014.
doi:10.1109/TIE.2013.2278521 Google Scholar

2. Chen, L., H. Xu, X. Sun, and Y. Cai, "Three-vector-based model predictive torque control for a permanent magnet synchronous motor of EVs," IEEE Transactions on Transportation Electrification, Vol. 7, No. 3, 1454-1465, Sept. 2021.
doi:10.1109/TTE.2021.3053256 Google Scholar

3. Li, S., Y. Xu, W. Zhang, and J. Zou, "A novel two-phase mode switching control strategy for PMSM position servo systems with fast-response and high-precision," IEEE Transactions on Power Electronics, Vol. 38, No. 1, 803-815, Jan. 2023.
doi:10.1109/TPEL.2022.3200969 Google Scholar

4. Repecho, V., J. B. Waqar, D. Biel, and A. Doria-Cerezo, "Zero speed sensorless scheme for permanent magnet synchronous machine under decoupled sliding-mode control," IEEE Transactions on Industrial Electronics, Vol. 69, No. 2, 1288-1297, Feb. 2022.
doi:10.1109/TIE.2021.3062260 Google Scholar

5. Yi, P., X. Wang, D. Chen, and Z. Sun, "PMSM current harmonics control technique based on speed adaptive robust control," IEEE Transactions on Transportation Electrification, Vol. 8, No. 2, 1794-1806, Jun. 2022.
doi:10.1109/TTE.2021.3128535 Google Scholar

6. Gu, M., et al., "Finite control set model predictive torque control with reduced computation burden for PMSM based on discrete space vector modulation," IEEE Transactions on Energy Conversion, Vol. 38, No. 1, 703-712, Mar. 2023.
doi:10.1109/TEC.2022.3211569 Google Scholar

7. Chen, W., S. Zeng, G. Zhang, T. Shi, and C. Xia, "A modified double vectors model predictive torque control of permanent magnet synchronous motor," IEEE Transactions on Power Electronics, Vol. 34, No. 11, 11419-11428, Nov. 2019.
doi:10.1109/TPEL.2019.2898901 Google Scholar

8. Petkar, S. G., K. Eshwar, and V. K. Thippiripati, "A modified model predictive current control of permanent magnet synchronous motor drive," IEEE Transactions on Industrial Electronics, Vol. 68, No. 2, 1025-1034, Feb. 2021.
doi:10.1109/TIE.2020.2970671 Google Scholar

9. Wu, M., X. Sun, J. Zhu, G. Lei, and Y. Guo, "Improved model predictive torque control for PMSM drives based on duty cycle optimization," IEEE Transactions on Magnetics, Vol. 57, No. 2, 1-5, Art No. 8200505, Feb. 2021. Google Scholar

10. Mamdouh, M. and M. A. Abido, "Efficient predictive torque control for induction motor drive," IEEE Transactions on Industrial Electronics, Vol. 66, No. 9, 6757-6767, Sept. 2019.
doi:10.1109/TIE.2018.2879283 Google Scholar

11. Amiri, M., J. Milimonfared, and D. A. Khaburi, "Predictive torque control implementation for induction motors based on discrete space vector modulation," IEEE Transactions on Industrial Electronics, Vol. 65, No. 9, 6881-6889, Sept. 2018.
doi:10.1109/TIE.2018.2795589 Google Scholar

12. Xie, H., F. Wang, Q. Xun, Y. He, J. Rodriguez, and R. Kennel, "A low-complexity gradient descent solution with backtracking iteration approach for finite control set predictive current control," IEEE Transactions on Industrial Electronics, Vol. 69, No. 5, 4522-4533, May 2022.
doi:10.1109/TIE.2021.3084164 Google Scholar

13. Wang, Y., et al., "Deadbeat model-predictive torque control with discrete space-vector modulation for PMSM drives," IEEE Transactions on Industrial Electronics, Vol. 64, No. 5, 3537-3547, May 2017.
doi:10.1109/TIE.2017.2652338 Google Scholar

14. Sun, X., T. Li, Z. Zhu, G. Lei, Y. Guo, and J. Zhu, "Speed sensorless model predictive current control based on finite position set for PMSHM drives," IEEE Transactions on Transportation Electrification, Vol. 7, No. 4, 2743-2752, Dec. 2021.
doi:10.1109/TTE.2021.3081436 Google Scholar

15. Sun, X., T. Li, M. Yao, G. Lei, Y. Guo, and J. Zhu, "Improved finite-control-set model predictive control with virtual vectors for PMSHM drives," IEEE Transactions on Energy Conversion, Vol. 37, No. 3, 1885-1894, Sept. 2022. Google Scholar

16. Young, H. A., M. A. Perez, and J. Rodriguez, "Analysis of finnite-control-set model predictive current control with model parameter mismatch in a three-phase inverter," IEEE Transactions on Industrial Electronics, Vol. 63, No. 5, 3100-3107, May 2016.
doi:10.1109/TIE.2016.2515072 Google Scholar

17. Li, T., X. Sun, G. Lei, Y. Guo, Z. Yang, and J. Zhu, "Finite-control-set model predictive control of permanent magnet synchronous motor drive systems --- An overview," IEEE/CAA Journal of Automatica Sinica, Vol. 9, No. 12, 2087-2105, Dec. 2022.
doi:10.1109/JAS.2022.105851 Google Scholar

18. Liu, S. and C. Liu, "Virtual-vector-based robust predictive current control for dual three-phase PMSM," IEEE Transactions on Industrial Electronics, Vol. 68, No. 3, 2048-2058, Mar. 2021.
doi:10.1109/TIE.2020.2973905 Google Scholar

19. Mousavi, M. S., et al., "Predictive torque control of induction motor based on a robust integral sliding mode observer," IEEE Transactions on Industrial Electronics, Vol. 70, No. 3, 2339-2350, Mar. 2023.
doi:10.1109/TIE.2022.3169831 Google Scholar

20. An, X., G. Liu, Q. Chen, W. Zhao, and X. Song, "Adjustable model predictive control for IPMSM drives based on online stator inductance identification," IEEE Transactions on Industrial Electronics, Vol. 69, No. 4, 3368-3381, Apr. 2022.
doi:10.1109/TIE.2021.3076718 Google Scholar

21. Huang, X., Y. Yu, Z. Li, et al. "Online identification of inductance and flux linkage for inverter-fed SPMSMs using switching state functions," IEEE Transactions on Power Electronics, Vol. 38, No. 1, 917-930, Jan. 2023.
doi:10.1109/TPEL.2022.3206119 Google Scholar

22. Wang, Y., W. Liao, S. Huang, et al. "A robust DPCC for IPMSM based on a full parameter identification method," IEEE Transactions on Industrial Electronics, Vol. 70, No. 8, 7695-7705, Aug. 2023.
doi:10.1109/TIE.2022.3212371 Google Scholar

23. Sun, Z., Y. Deng, J. Wang, T. Yang, Z. Wei, and H. Cao, "Finite control set model-free predictive current control of PMSM with two voltage vectors based on ultralocal model," IEEE Transactions on Power Electronics, Vol. 38, No. 1, 776-788, Jan. 2023.
doi:10.1109/TPEL.2022.3198990 Google Scholar

24. Zhou, Y., H. Li, R. Liu, and J. Mao, "Continuous voltage vector model-free predictive current control of surface mounted permanent magnet synchronous motor," IEEE Transactions on Energy Conversion, Vol. 34, No. 2, 899-908, Jun. 2019.
doi:10.1109/TEC.2018.2867218 Google Scholar

25. Siami, M., D. A. Khaburi, A. Abbaszadeh, and J. Rodriguez, "Robustness improvement of predictive current control using prediction error correction for permanent-magnet synchronous machines," IEEE Transactions on Industrial Electronics, Vol. 63, No. 6, 3458-3466, Jun. 2016.
doi:10.1109/TIE.2016.2521734 Google Scholar

26. Zhang, X., L. Zhang, and Y. Zhang, "Model predictive current control for PMSM drives with parameter robustness improvement," IEEE Transactions on Power Electronics, Vol. 34, No. 2, 1645-1657, Feb. 2019.
doi:10.1109/TPEL.2018.2835835 Google Scholar

Dr. Qianghui Xiao

Dr. Zhongjian Tang

Dr. Wenting Zhang

Dr. Zhi Yu

Dr. Zhun Cheng