Journal of Power Electronics

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

DOI QR Code

Model Predictive Torque Control of Surface Mounted Permanent Magnet Synchronous Motor Drives with Voltage Cost Functions

  • Zhang, Xiaoguang (Inverter Technologies Engineering Research Center of Beijing, North China University of Technology) ;
  • Hou, Benshuai (Beijing Shougang International Engineering Technology Co., Ltd) ;
  • He, Yikang (Inverter Technologies Engineering Research Center of Beijing, North China University of Technology) ;
  • Gao, Dawei (State Key Laboratory of Automotive Safety and Energy, Tsinghua University)
  • Received : 2017.07.25
  • Accepted : 2018.03.17
  • Published : 2018.09.20
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a model predictive torque control (MPTC) without the use of a weighting factor for surface mounted permanent-magnet synchronous machine (SPMSM) drive systems is presented. Firstly, the desired voltage vector is predicted in real time according to the principles of deadbeat torque and flux control. Then the sector of this desired voltage vector is determined. The complete enumeration for testing all of the feasible voltage vectors is avoided by testing only the candidate vectors contained in the sector. This means that only two voltage vectors in the sector need to be tested for selecting the optimal voltage vector in each control period. Thus, the calculation time can be reduced when compared with the conventional enumeration method. On the other hand, a novel cost function that only includes the dq-axis voltage errors between the desired voltage and candidate voltage is designed to eliminate the weighting factor used in the conventional MPTC. Thus, the control complexity caused by the tuning of the weighting factor is effectively decreased when compared with the conventional MPTC. Simulation and experimental investigation have been carried out to verify the proposed method.

Keywords

References

  1. Z. Xiang, X. Zhu, L. Quan, Y. Du, C. Zhang, and D. Fan, “Multi-level design optimization and operation of a brushless double mechanical ports flux-switching permanent magnet motor,” IEEE Trans. Ind. Electron., Vol. 63, No. 10, pp. 6042–6054, Oct. 2016. https://doi.org/10.1109/TIE.2016.2571268
  2. G. S. Buja and M. P. Kazmierkowski, "Direct torque control of PWM inverter-fed AC motors - A survey," IEEE Trans. Ind. Electron., Vol. 51, No. 4, pp. 744-757, Aug. 2004. https://doi.org/10.1109/TIE.2004.831717
  3. J. Holtz and S. Stadtfeld, "A predictive controller for the stator current vector of ac machines fed from a switched voltage source," in JIEE IPEC-Tokyo Conf, Vol. 2, 1983, pp. 1665-1675.
  4. X. Zhang and K. Wang, "Current prediction based zero sequence current suppression strategy for the semi-controlled open-winding PMSM generation system with a common DC bus," IEEE Trans. Ind. Electron., Vol. 65, No.8, pp. 6066-6076, Aug. 2018. https://doi.org/10.1109/TIE.2017.2784353
  5. W. Xie, X. Wang, F. Wang, W. Xu, R. M. Kennel, D. Gerling, and R. D. Lorenz, "Finite-control-set model predictive torque control with a deadbeat solution for PMSM drives," IEEE Trans. Ind. Electron., Vol. 62, No. 9, pp.5402-5410, Sep.2015. https://doi.org/10.1109/TIE.2015.2410767
  6. T. Geyer, “Computationally efficient model predictive direct torque control,” IEEE Trans. Power Electron., Vol. 26, No. 10, pp. 2804-2816, Oct. 2011. https://doi.org/10.1109/TPEL.2011.2121921
  7. T. Geyer, G. Papafotiou, and M. Morari, "Model predictive direct torque control - Part I: Concept, algorithm, and analysis," IEEE Trans. Ind. Electron., Vol. 56, No. 6, pp. 1894-1905, Jun. 2009. https://doi.org/10.1109/TIE.2008.2007030
  8. T. Geyer and D. E. Quevedo, “Multistep finite control set model predictive control for power electronics,” IEEE Trans. Power Electron., Vol. 29, No. 12, pp. 6836-6846, Dec. 2014. https://doi.org/10.1109/TPEL.2014.2306939
  9. T. Geyer and D. E. Quevedo, "Performance of multistep finite control set model predictive control for power electronics," IEEE Trans. Power Electron., Vol. 30, No. 3, pp. 1633-1644, Mar. 2015. https://doi.org/10.1109/TPEL.2014.2316173
  10. A. Linder and R. Kennel, "Model predictive control for electrical drives," in Proc. IEEE 36th Power Electron. Specialists Conf., pp. 1793-1799, 2005.
  11. P. Stolze, M. Tomlinson, R. Kennel, and T. Mouton, "Heuristic finite-set model predictive current control for induction machines," in Proc. IEEE Energy Conv. Congr. Expo. Asia Downunder, pp. 1221-1226, 2013.
  12. J. Rodriguez and P. Cortes, Predictive Control of Power Converters and Electrical Drives, Wiley-IEEE Press, 2012.
  13. R. Vargas, J. Rodriguez, U. Ammann, and P. Wheeler, “Predictive current control of an induction machine fed by a matrix converter with reactive power control,” IEEE Trans. Ind. Electron., Vol. 55, No. 12, pp. 4362-4371, Dec. 2008. https://doi.org/10.1109/TIE.2008.2006947
  14. F. Villarroel, J. R. Espinoza, C. A. Rojas, J. Rodriguez, M. Rivera, and D. Sbarbaro, “Multiobjective switching state selector for finite states model predictive control based on fuzzy decision making in a matrix converter,” IEEE Trans. Ind. Electron., Vol. 60, No. 2, pp. 589-599, Feb. 2013. https://doi.org/10.1109/TIE.2012.2206343
  15. S. A. Davari, D. A. Khaburi, and R. Kennel, “An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor,” IEEE Trans. Power Electron., Vol. 27, No. 3, pp. 1540-1551, Mar. 2012. https://doi.org/10.1109/TPEL.2011.2162343
  16. X. Zhang and B. Hou, “Double vectors model predictive torque control without weighting factor based on voltage tracking error,” IEEE Trans. Power Electron., Vol. 33, No. 3, pp. 2368-2380, Mar. 2018. https://doi.org/10.1109/TPEL.2017.2691776
  17. C. A. Rojas, J. Rodriguez, F. Villarroel, J. R. Espinoza, C. A. Silva, and M. Trincado, “Predictive torque and flux control without weighting factors,” IEEE Trans. Ind. Electron., Vol. 60, No. 2, pp. 681-690, Feb. 2013. https://doi.org/10.1109/TIE.2012.2206344
  18. M. R. Nikzad, B. Asaei, and S. O. Ahmadi. "Discrete duty-cycle-control method for direct torque control of induction motor drives with model predictive solution," IEEE Trans. Power Electron., Vol. 33, No. 3, pp. 2317-2329, Mar. 2018. https://doi.org/10.1109/TPEL.2017.2690304
  19. X. Zhu, Z. Xiang, L. Quan, W. Wu, and Y. Du, “Multi-Mode optimization design methodology for a flux-controllable stator permanent magnet memory motor considering driving cycles,” IEEE Trans. Ind. Electron., Vol. 65, No. 7, pp. 5353- 5366, Jul. 2018. https://doi.org/10.1109/TIE.2017.2777408
  20. Y. Shi, K. Sun, L. Huang, and Y. Li, "Online identification of permanent magnet flux based on extended Kalman filter for IPMSM drive with position sensorless control," IEEE Trans. Ind. Electron. Vol. 59, No. 11, pp. 4169-4178, Nov. 2012. https://doi.org/10.1109/TIE.2011.2168792
  21. G. Wang, R. Yang, and D. Xu, "DSP-based control of sensorless IPMSM drives for wide-speed range operation," IEEE Trans. Ind. Electron, Vol. 60, No. 2, pp. 720-727, Feb. 2013. https://doi.org/10.1109/TIE.2012.2205360
  22. Y. Zhang, J. Zhu, and W. Xu, "Analysis of one step delay in direct torque control of permanent magnet synchronous motor and its remedies," in Proc. Int Electrical Machines and Systems (ICEMS) Conf, pp.792-797, 2010.
  23. P. Cortes, M. P. Kazmierkowski, R. M. Kennel, D. E. Quevedo, and J. Rodriguez, "Predictive control in power electronics and drives," IEEE Trans. Ind. Electron., Vol. 55, No.12, pp. 4312-4324, Dec. 2008. https://doi.org/10.1109/TIE.2008.2007480
  24. J. S. Lee, R. Lorenz, and M. Valenzuela, "Time-optimal and lossminimizing deadbeat-direct torque and flux control for interior permanent-magnet synchronous machines," IEEE Trans. Ind. Appl., Vol. 50, No. 3, pp. 1880-1890, May 2014. https://doi.org/10.1109/TIA.2013.2287313