DOI QR코드

DOI QR Code

Fast position predictive control with current and speed limits for permanent magnet motor systems without weight coefficients

  • Xiuyun Zhang (Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education) ;
  • Zhiqiang Wang (School of Automobile and Transportation, Tianjin University of Technology and Education) ;
  • Genghuang Yang (Tianjin Key Laboratory of Information Sensing and Intelligent Control, Tianjin University of Technology and Education)
  • Received : 2022.09.23
  • Accepted : 2023.01.11
  • Published : 2023.04.20

Abstract

To solve the problems that the weight coefficient of the cost function in the traditional position predictive control is difficult to adjust, and the calculation efficiency of the voltage vector selection is low under the traditional ergodic method, this paper proposes a fast position predictive control strategy with current and speed limits without a weight coefficient. First, the reference voltage vector is predicted. Then the cost function is converted to the voltage dimension to leave out the weight coefficient. After that, the candidate vector selection and the cost function optimization are carried out according to the sector location where the reference voltage vector is located to reduce the number of calculations. Then according to actual system needs, the current and speed limits are integrated into the selection of the alternative voltage vector. At this point, the selected optimal voltage vector is improved through the relationship between the voltage limit circle and the rectangular area to realize the current and speed limit. Finally, experimental results verify that the proposed control strategy has better motion control accuracy and dynamic response speed, without adjusting weight coefficients.

Keywords

Acknowledgement

This research was funded by Tianjin Education Commission Scientific Research Project: 2020KJ116.

References

  1. Zhang, X.G., Zhao, Z.H.: Multi-stage series model predictive control for PMSM drives. IEEE Trans. Veh. Technol. 70(7), 6591-6600 (2021) https://doi.org/10.1109/TVT.2021.3086532
  2. Chen, Y., Yang, M., Long, J.W., et al.: A moderate online servo controller parameter self-tuning method via variable-period inertia identification. IEEE Trans. Power Electron. 34(12), 12165-12180 (2019) https://doi.org/10.1109/TPEL.2019.2909439
  3. Hsu, C., Lai, Y.: Novel online optimal bandwidth search and auto-tuning techniques for servo motor drives. IEEE Trans. Ind. Appl. 53(4), 3635-3642 (2017) https://doi.org/10.1109/TIA.2017.2683442
  4. Cheng, K.Y., Tzou, Y.Y.: Fuzzy optimization techniques applied to the design of a digital PMSM servo drive. IEEE Trans. Power Electron. 19(4), 1085-1099 (2004)
  5. Butler, H.: Position control in lithographic equipment. IEEE Control Syst. Mag. 31(5), 28-47 (2011)
  6. Maurya, C. P., Hote, Y. V., Siddhartha, V.: Design of PI-lead controller for a plant having a right-half-plane zero. Proceeding of Second International Conference on Circuits, Controls and Communications, (2017).
  7. Qi, X., Su, T., Zhou, K., et al.: Development of AC motor model predictive control strategy: an overview. Proceedings of the CSEE. 41(18), 6408-6418 (2021)
  8. Ahmed, A.A., Koh, B.K., Park, H.S., et al.: Finite control set model predictive control method for torque control of induction motors using a state tracking cost index. IEEE Trans. Industr. Electron. 64(3), 1916-1928 (2017) https://doi.org/10.1109/TIE.2016.2631456
  9. Fuentes, E. J., Silva, C., Quevedo, D. E., et al.: Predictive speed control of a synchronous permanent magnet motor. 2009 IEEE International Conference on Industrial Technology, 1-6 (2009)
  10. Tang, L., Landers, R.G.: Predictive contour control with adaptive feed rate. IEEE/ASME Trans. Mechatron. 17(4), 669-679 (2012) https://doi.org/10.1109/TMECH.2011.2119324
  11. Wei, Y., Wei, Y.J., Sun, Y.N., et al.: Prediction horizons optimized nonlinear predictive control for permanent magnet synchronous motor position system. IEEE Trans. Ind. Electron. 67(11), 9153-9163 (2020) https://doi.org/10.1109/TIE.2019.2955433
  12. Kyslan, K., Slapak, V., Durovsky, F., et al.: Feedforward finite control set model predictive position control of PMSM. Proc. of PEMC, 549-555 (2018)
  13. Zhang, Y.C., Yang, H.: Two-vector-based model predictive torque control without weighting factors for induction motor drives. IEEE Trans. Power Electron. 31(2), 1381-1390 (2016) https://doi.org/10.1109/TPEL.2015.2416207
  14. Zhao, Y., Huang, W.X., Lin, X.G., et al.: Fast predictive direct torque control of dual three-phase permanent magnet fault tolerant machine based on weighting factor elimination and finite control set optimization. Trans. China. Electrotech. Soc. 36(1), 3-14 (2021)
  15. Li, Y.H., Liu, Y., Meng, X.Z., et al.: Finite control set model predictive direct torque control of surface permanent magnet synchronous motor. Electric Machines. Control. 24(8), 33-43 (2020)
  16. Rojas, C.A., Rodriguez, J., Villarroel, F., et al.: Predictive torque and flux control without weighting factors. IEEE Trans. Industr. Electron. 60(2), 681-690 (2013) https://doi.org/10.1109/TIE.2012.2206344
  17. Li, X.L., Xue, Z.W., Yan, X.Y., et al.: Voltage vector rapid screening-based three-vector model predictive torque control for permanent magnet synchronous motor. Trans. China. Electrotech. Soc. 37(7), 1666-1678 (2022)
  18. Huang, Y.W., Tang, S.J., Huang, W.C., et al.: Fast speed predictive control of permanent magnet synchronous motor based on expected voltage vector. Electric Machines. Control 24(4), 87-95 (2020)
  19. Zhang, X.G., He, Y.K.: Direct voltage-selection based model predictive direct speed control for PMSM drives without weighting factor. IEEE Trans. Power Electron. 34(8), 7837-7851 (2019)
  20. Zhang, X.G., Hou, B.S.: Double vectors model predictive torque control without weighting factor based on voltage tracking error. IEEE Trans. Power Electron. 33(3), 2368-2380 (2018) https://doi.org/10.1109/TPEL.2017.2691776
  21. Hu, J.H., He, C., Li, Y.: A novel predictive position control with current and speed limits for PMSM drives based on weighting factors elimination. IEEE Trans. Industr. Electron. 69(12), 12458-12468 (2022) https://doi.org/10.1109/TIE.2021.3139180
  22. Wang, Z. Q., Zhang, X. Y., Bian, J.: Finite control set model predictive position control of PMSM system. 2021 33rd Chinese Control and Decision Conference (CCDC), 4270-4275 (2021)