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Model predictive pulse pattern control of permanent magnet synchronous motors for medium- and low-speed optimization

  • Yueqing Zhao (College of Electrical and Electronic Information Engineering, Xihua University) ;
  • Taiqiang Cao (College of Electrical and Electronic Information Engineering, Xihua University) ;
  • Guangxu Pan (Civil Aviation Electronic Technology Co., Ltd.) ;
  • Jin Dai (Mianyang Fulin PRECISION Co., Ltd.) ;
  • Xiaoying Guo (School of Intelligent Manufacturing, Panzhihua University) ;
  • Min Zheng (College of Electrical and Electronic Information Engineering, Xihua University) ;
  • Xuan Lin (College of Electrical and Electronic Information Engineering, Xihua University)
  • Received : 2022.12.15
  • Accepted : 2023.03.27
  • Published : 2023.09.20

Abstract

Taking the permanent magnet synchronous motor (PMSM) as the research object, the model prediction pulse pattern control (MP3C) of a PMSM running in the medium-low-speed zone is adopted to further reduce the torque ripple and phase current total harmonic distortion (THD) of a motor running in the medium-low-speed zone. First, the objective function of the predictive pulse control method is optimized. The objective function is intended to be the difference between the switching voltage vector and the equivalent reference voltage vector. At the same time, the integral of the difference between the d-axis current reference value and the actual value is compensated into the voltage reference vector. Thus, the pulse pattern control selected by the objective function is optimal when the motor is running in the medium-low-speed region. In addition, the PMSM can run stably and reliably. Simulation results show that the torque ripple is reduced by 1.3 Nm and 1.2 Nm, and that the phase current total harmonic distortion is reduced by 0.10% and 0.03% when the motor is running at 5 Nm and 10 Nm and at a speed of 100 rpm, respectively. When the rotation speed is 1000 rpm, the torque ripple is reduced by 0.74 Nm and 0.78 Nm respectively. In addition, the phase current total harmonic distortion is decreased by 0.44% and 0.54%, respectively.

Keywords

Acknowledgement

This work was supported in part by the Key Research and Development Program of Sichuan under Grant 2022YFG0061, 2022ZHCG0015, 2022YFN0072, and in part by the Key Research and Development Program of Chengdu under Grant 2019YF0800265GX, 2021YF0800004GX, and in part by the Scientific Research Funding of Xihua University under Grant Z202129.

References

  1. Chen, Z.Y., Qu, W.T.: Model predictive current control for permanent magnet synchronous motors based on PID-type cost function. Trans. China Electrotech. Soc. 36(14), 2971-2978 (2021)
  2. Yan, Y., Huang, W.X.: Research on delay compensation strategy of permanent magnet synchronous motor based on closed-loop current prediction. Proc. CSEE 42(10), 3786-3796 (2022)
  3. Wu, X., Xue, C., Ding, L., Quan, Z.: Improved finite control set model predictive control for parallel dual-converter-fed PMSM drives. IEEE Trans. Industr. Electron. 70(4), 3581-3592 (2022)
  4. Li, T., Sun, X.D., Lei, G., Yang, Z.: Finite-control-set model predictive control of permanent magnet synchronous motor drive systems-an overview. IEEE/CAA J. Autom. Sin. 1, 1 (2022)
  5. Yao, J., Liu, R.K., Yin, X.: Research on 3-vector model predictive control with low switching frequency of permanent magnet synchronous motor. Trans. China Electrotech. Soc. 33(13), 2935-2945 (2018)
  6. Han, Y.F., Gong, C., Yan, L.M., Wen, H.: Multi objective finite control set model predictive control using model delay compensation technique for PMSM. IEEE Trans. Power Electron. 35(10), 11193-11204 (2020) https://doi.org/10.1109/TPEL.2020.2979122
  7. Sun, X.D., Li, T., Zhu, Z.: Speed sensorless model predictive current control based on fnite position set for PMSHM drives. IEEE Trans. Transp. Electrific. 7(4), 2743-2752 (2021) https://doi.org/10.1109/TTE.2021.3081436
  8. Sun, X.D., Li, T., Yao, M., Lei, G.: Improved finite-control-set model predictive control with virtual vectors for PMSHM drives. IEEE Trans. Energy Convers. 37(3), 1885-1894 (2021)
  9. Liu, J.M., Ge, Z.Y., Wu, X., Wu, G.P.: Predictive current control of permanent magnet synchronous motor based on duty-cycle modulation. Proc. CSEE 40(10), 3319-3328 (2020)
  10. Kang, S.W., Soh, J.H., Kim, R.Y.: Symmetrical three-vector-based model predictive control with deadbeat solution for IPMSM in rotating reference frame. IEEE Trans. Ind. Electron. 67(1), 159-168 (2019) https://doi.org/10.1109/TIE.2018.2890490
  11. Mun, S.K., Kwak, S.: Reducing common-mode voltage of three-phase VSIs using the predictive current control method based on reference voltage. J. Power Electron. 15(3), 712-720 (2015) https://doi.org/10.6113/JPE.2015.15.3.712
  12. Li, J.Y., Song, W.S., Liu, B., Yu, B.: Model predictive pulse pattern control of permanent magnet synchronous motor with low torque ripple and common mode voltage. Proc. CSEE 42(11), 4189-4199 (2022)
  13. Yu, K.L., Wang, Z.: Improved deadbeat predictive current control of dual three-phase variable-flux PMSM drives with composite disturbance observer. IEEE Trans. Power Electron. 37(7), 8310-8321 (2022) https://doi.org/10.1109/TPEL.2022.3141375
  14. Li, X.L., Xue, Z.W., Yan, X.Y., Feng, X.T.: Voltage vector rapid screening-based three-vector model predictive torque control for permanent magnet synchronous motor. Trans. China Electrotech. Soc. 37(07), 1666-1678 (2022)
  15. Han, Y.F., Gong, C., Yan, L., Wen, H.: Multi-objective finite control set model predictive control using novel delay compensation technique for PMSM. IEEE Trans. Power Electron. 35(10), 11193-11204 (2020) https://doi.org/10.1109/TPEL.2020.2979122
  16. Wang, G., Yang, M., Niu, L., Gui, X.G.: A static current error elimination algorithm for PMSM predictive current control. Proc. CSEE 35(10), 2544-2551 (2015)
  17. Niu, L., Yang, M., Liu, K.S., Xu, D.G.: A predictive current control scheme for permanent magnet synchronous motors. Proc. CSEE 32(06), 131-137 (2012)