Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Predictive direct torque control of permanent magnet synchronous motors using deadbeat torque and flux control

  • Ao Wang (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Housheng Zhang (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Junjie Jiang (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Duo Jin (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Shengjie Zhu (State Grid Shandong Electric Power Company, Dong'e County Power Supply Company)
  • Received : 2022.06.12
  • Accepted : 2022.10.06
  • Published : 2023.02.20
⟨ Previous Next ⟩

Abstract

In consideration of the shortcomings of the large torque and flux ripples in direct torque control (DTC), and the insufficient utilization of the duty cycle module in traditional DTC based on the duty cycle modulation of PMSMs, a DTC method based on deadbeat control of the torque and flux is proposed in this paper. In the synchronous rotation, coordinate system positioned with the stator flux vector, the reference voltage vector is calculated in accordance to the deadbeat control method. Six virtual voltages are constructed in such a manner that two adjacent basic voltage vectors are evenly divided in one control cycle. The effective voltage vectors are expanded to 12. The effective voltage vector closest to the phase angle of the reference voltage vector is determined to be the optimal voltage vector. Then, the duty cycle is introduced to further reduce the error between the final output voltage vector and the voltage vector required by the system. Simulation comparisons are carried out for DTC, traditional DTC based on duty cycle modulation, and the proposed DTC. The obtained simulation results demonstrate that the proposed DTC can effectively suppress both torque ripple and fux ripple, improve the utilization rate of the duty cycle module, and reduce the stator current distortion rate.

Keywords

Acknowledgement

This study was funded by the National Natural Science Foundation of China (Grant No. 62076152) and the Shandong Provincial Postgraduate Education Quality Improvement Program of China (Grant No. SDYKC21127).

References

  1. Chen, W., Zeng, S., et al.: A modified double vectors model predictive torque control of permanent magnet synchronous motor. IEEE Trans. Power Electron. 34(11), 11419-11428 (2019)  https://doi.org/10.1109/tpel.2019.2898901
  2. Wang, X., Wang, Z., et al.: Optimization of torque tracking performance for direct-torque-controlled PMSM drives with composite torque regulator. IEEE Trans. Industr. Electron. 67(12), 10095-10108 (2020)  https://doi.org/10.1109/tie.2019.2962451
  3. Liu, Q., Hameyer, K.: Torque ripple minimization for direct torque control of PMSM with modified FCSMPC. IEEE Trans. Ind. Appl. 52(6), 4855-4864 (2016)  https://doi.org/10.1109/TIA.2016.2599902
  4. Lin, X., Huang, W., et al.: Deadbeat direct torque and flux control for permanent magnet synchronous motor based on stator flux oriented. IEEE Trans. Power Electron. 35(5), 5078-5092 (2020)  https://doi.org/10.1109/tpel.2019.2946738
  5. Foo, G.H.B., Zhang, X.: Constant switching frequency based direct torque control of interior permanent magnet synchronous motors with reduced ripples and fast torque dynamics. IEEE Trans. Power Electron. 31(9), 6485-6493 (2016)  https://doi.org/10.1109/TPEL.2015.2503292
  6. Niu, F., Li, K., et al.: Direct torque control for permanent-magnet synchronous machines based on duty ratio modulation. IEEE Trans. Ind. Electron. 62(10), 6160-6170 (2016)  https://doi.org/10.1109/TIE.2015.2426678
  7. Xie, W., Wang, X., et al.: Finite-control-set model predictive torque control with a deadbeat solution for PMSM drives. IEEE Trans Ind. Electron. 62(9), 5402-5410 (2015)  https://doi.org/10.1109/TIE.2015.2410767
  8. Wang, Y., Wang, X., et al.: Deadbeat model predictive torque control with discrete space vector modulation for PMSM drives. IEEE Trans Ind. Electron. 64(5), 3537-3547 (2017)  https://doi.org/10.1109/TIE.2017.2652338
  9. Zhou, Z., Xia, C., et al.: Torque ripple minimization of predictive torque control for PMSM with extended control set. IEEE Trans Ind. Electron. 64(9), 6930-6939 (2017)  https://doi.org/10.1109/TIE.2017.2686320
  10. Zhang, Y., Yang, H.: Generalized two-vector-based model-predictive torque control of induction motor drives. IEEE Trans. Power Electron. 30(7), 3818-3829 (2015)  https://doi.org/10.1109/TPEL.2014.2349508
  11. Wang, F., Davari, S.A., et al.: Finite control set model predictive torque control of induction machine with a robust adaptive observer. IEEE Ind. Electron. 64(4), 2631-2641 (2017)  https://doi.org/10.1109/TIE.2016.2529558
  12. Xia, C., Wang, S., et al.: Direct torque control for VSI-PMSM using vector evaluation factor table. IEEE Trans. Industr. Electron. 63(7), 4571-4583 (2016)  https://doi.org/10.1109/TIE.2016.2535958
  13. Xiao, M., Shi, T., et al.: Predictive torque control of permanent magnet synchronous motors using flux vector. IEEE Trans. Ind. Appl. 54(5), 4437-4446 (2018)  https://doi.org/10.1109/tia.2018.2833817
  14. Sun, X.D., Li, T., et al.: Improved finite-control-set model predictive control with virtual vectors for PMSHM drives. IEEE Trans. on Energy Convers. (2021). https://doi.org/10.1109/TEC.2021.3138905 
  15. Sun, X.D., Li, T., et al.: 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 (2022)  https://doi.org/10.1109/TEC.2021.3109869
  16. Li, X., Xue, Z., et al.: Low-complexity multi-vector-based model predictive torque control for PMSM with voltage preselection. IEEE Trans. Power Electron. 36(10), 11726-11738 (2021)  https://doi.org/10.1109/TPEL.2021.3073137
  17. Niu, F., Li, K., et al.: Model predictive direct torque control for permanent magnet synchronous machines based on duty ratio modulation. Trans. China Electrotech. Soc. 29(11), 20-29 (2014) 
  18. Wu, M.K., Sun, X.D., et al.: Improved model predictive torque control for PMSM drives based on duty cycle optimization. IEEE Trans. Magn. 57(2), 1-5 (2021) 
  19. Sun, X.D., Li, T., et al.: Speed sensorless model predictive current control based on finite position set for PMSHM drives. IEEE Trans. Transp. Electrific. 7(4), 2743-2752 (2021)  https://doi.org/10.1109/TTE.2021.3081436
  20. Vafaie, M.H., Mirzaeian Dehkordi, B., et al.: A new predictive direct torque control method for improving both steady-state and transient-state operations of the PMSM. IEEE Trans. Power Electron. 31(5), 3738-3753 (2016) https://doi.org/10.1109/TPEL.2015.2462116