Browse > Article
http://dx.doi.org/10.6113/JPE.2018.18.5.1398

Double Vector Based Model Predictive Torque Control for SPMSM Drives with Improved Steady-State Performance  

Zhang, Xiaoguang (Inverter Technologies Engineering Research Center of Beijing, North China University of Technology)
He, Yikang (Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing, North China University of Technology)
Hou, Benshuai (Beijing Shougang International Engineering Technology Co., Ltd)
Publication Information
Journal of Power Electronics / v.18, no.5, 2018 , pp. 1398-1408 More about this Journal
Abstract
In order to further improve the steady-state control performance of model predictive torque control (MPTC), a double-vector-based model predictive torque control without a weighting factor is proposed in this paper. The extended voltage vectors synthesized by two basic voltage vectors are used to increase the number of feasible voltage vectors. Therefore, the control precision of the torque and the stator flux along with the steady-state performance can be improved. To avoid testing all of the feasible voltage vectors, the solution of deadbeat torque control is calculated to predict the reference voltage vector. Thus, the candidate voltage vectors, which need to be evaluated by a cost function, can be reduced based on the sector position of the predicted reference voltage vector. Furthermore, a cost function, which only includes a reference voltage tracking error, is designed to eliminate the weighting factor. Moreover, two voltage vectors are applied during one control period, and their durations are calculated based on the principle of reference voltage tracking error minimization. Finally, the proposed method is tested by simulations and experiments.
Keywords
Model predictive torque control; Surface mounted permanent-magnet synchronous motor (SPMSM); Weighting factor;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. S. Lee, C.-H. Choi, J.-K. Seok, and R. D. Lorenz, “Deadbeat-direct torque and flux control of interior permanent magnet synchronous machines with discrete time stator current and stator flux linkage observer,” IEEE Trans. Ind. Appl., Vol. 47, No. 4, pp. 1749-1758, May. 2011.   DOI
2 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.   DOI
3 F. Morel, X. Lin-Shi, J.-M. Retif, B. Allard, and C. Buttay, "A comparative study of predictive current control schemes for a permanent-magnet synchronous machine drive," IEEE Trans. Ind. Electron., Vol. 56, No. 7, pp. 2715-2728, Jul. 2009.   DOI
4 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.   DOI
5 A. Linder and R. Kennel, "Model predictive control for electrical drives," in Proc. IEEE 36th Power Electron. Specialists Conf., Jun. 2005, pp. 1793-1799.
6 X. Wei, W. Xiaocan, W. Fengxiang, X. Wei, 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.   DOI
7 M. Pacas and J. Weber, “Predictive direct torque control for the pm synchronous machine,” IEEE Trans. Ind. Electron., Vol. 52, No. 5, pp. 1350-1356, Oct. 2005.   DOI
8 E. Flach, R. Hoffmann, and P. Mutschler, "Direct mean torque control of an induction motor," in Eur. Conf. Power Electron. and Appl., Vol. 3, pp. 3.672-3.677, 1997.
9 S. Alireza 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.   DOI
10 P. Landsmann and R. Kennel, “Saliency-based sensorless predictive torque control with reduced torque ripple,” IEEE Trans. Power Electron., Vol. 27, No. 10, pp. 4311-4320, Oct. 2012.   DOI
11 L. Tarisciotti, P. Zanchetta, A. Watson, S. Bifaretti, and J. C. Clare, “Modulated model predictive control for a seven-level cascaded h-bridge back-to-back converter,” IEEE Trans. Ind. Electron., Vol. 61, No. 10, pp. 5375-5383, Oct. 2014.   DOI
12 Y. Wang, X. Wang, W. Xie, F. Wang, M. Dou, R. M. Kennel, R. D. Lorenz, and D. Gerling, "Deadbeat model predictive torque control with discrete space vector modulation for PMSM drives," IEEE Trans. Ind. Electron., Vol.64, No.5, pp. 3537-3547, May 2017.   DOI
13 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.   DOI
14 X. Zhang, B. Hou, and Y. Mei, “Deadbeat predictive current control of permanent magnet synchronous motors with stator current and disturbance observer,” IEEE Trans. Power Electron., Vol. 32, No. 5, pp. 3818-3834, May 2017.   DOI
15 G. Zhang, G. Wang, D. Xu, and N. Zhao, “ADALINE-network-based PLL for position sensorless interior permanent magnet synchronous motor drives,” IEEE Trans. Power Electron., Vol. 31, No. 2, pp. 1450-1460, Feb., 2016.   DOI
16 S. Mariethoz, A. Domahidi, and M. Morari, "High-bandwidth explicit model predictive control of electrical drives," IEEE Trans. Ind. Appl., Vol. 48, No.6, pp. 1980-1992, Nov./Dec. 2012.   DOI
17 H. Miranda, P. Cortes, J. Yuz, and J. Rodriguez, "Predictive torque control of induction machines based on state-space models," IEEE Trans. Ind. Electron., Vol. 56, No.6, pp. 1916-1924, Jun. 2009.   DOI
18 K.-K. Shyu, J.-K. Lin, V.-T. Pham, M.-J. Yang, and T.-W. Wang, “Global minimum torque ripple design for direct torque control of induction motor drives,” IEEE Trans. Ind. Electron., Vol. 57, No. 9, pp. 3148-3156, Sep. 2010.   DOI
19 S. Kouro, P. Cortes, R. Vargas, U. Ammann, and J. Rodriguez, "Model predictive control-a simple and powerful method to control power converters," IEEE Trans. Ind. Electron., Vol.56, No.6, pp. 1826-1838, Jun. 2009.   DOI
20 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.   DOI
21 G. Wang, H. Zhan, G. Zhang, X. Gui, and D. Xu., "Adaptive compensation method of position estimation harmonic error for EMF-based observer in sensorless IPMSM drives," IEEE Trans. Power Electron., Vol. 29, No.6, pp. 3055-3064, Jun. 2014.   DOI
22 P. Karamanakos, P. Stolze, R. M. Kennel, S. Manias, and H. du Toit Mouton, “Variable switching point predictive torque control of induction machines,” IEEE J. Emerg. and Sel. Topics Power Electron., Vol. 2, No. 2, pp. 285-295, Jun. 2014.   DOI
23 T. Geyer and D. Quevedo, “Performance of multistep finite control set model predictive control for power electronics,” IEEE Trans. Power Electron., Vol. 30, No. 3, pp. 1633-1644, Apr. 2015.   DOI
24 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.   DOI
25 M. Nemec, D. Nedeljkovic, and V. Ambrozic, “Predictive torque control of induction machines using immediate flux control,” IEEE Trans. Ind. Electron., Vol. 54, No. 4, pp. 2009-2017, Aug. 2007.   DOI
26 Y. Zhang and J. Zhu, “Direct torque control of permanent magnet synchronous motor with reduced torque ripple and commutation frequency,” IEEE Trans. Power Electron., Vol. 26, No. 1, pp. 235-248, Jan. 2011.   DOI
27 J.-K. Kang and S.-K. Sul, “New direct torque control of induction motor for minimum torque ripple and constant switching frequency,” IEEE Trans. Ind. Appl., Vol. 35, No. 5, pp. 1076-1082, Sep./Oct. 1999.   DOI
28 Y. Zhang and H. Yang, “Current prediction based zero sequence current suppression strategy for the semicontrolled open-winding PMSM generation system with a common DC bus,” IEEE Trans. Ind. Electron., Vol. 65, No. 8, pp. 6066-6076, Aug. 2018.   DOI
29 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, Jul. 2013.   DOI
30 Z. Zhou, C. Xia, Y. Yan, Z. Wang, and T. Shi, “Torque ripple minimization of predictive torque control for PMSM with extended control set,” IEEE Trans. Ind. Electron., Vol. 64, No. 9, pp. 6930-6939, Sep. 2017.   DOI
31 L. Tarisciotti, P. Zanchetta, A. Watson, S. Bifaretti, and J. C. Clare, “Modulated model predictive control for a seven-level cascaded hbridge back-to-back converter,” IEEE Trans. Ind. Electron., Vol. 61, No. 10, pp. 5375-5383, Oct. 2014.   DOI
32 D. Casadei, F. Profumo, G. Serra, and A. Tani, “FOC and DTC: two viable schemes for induction motors torque control,” IEEE Trans. Power Electron., Vol. 17, No. 5, pp. 779-787, Sep. 2002.
33 G. Foo and M. F. Rahman, “Sensorless direct torque and flux-controlled IPM synchronous motor drive at very low speed without signal injection,” IEEE Trans. Ind. Electron., Vol. 57, No. 1, pp. 395-403, Jan. 2010.   DOI
34 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, pp. 1221-1226, 2013.
35 P. Karamanakos, P. Stolze, R. M. Kennel, S. Manias, and H. du Toit Mouton, “Variable switching point predictive torque control of induction machines,” IEEE J. Emerg. Sel. Topics Power Electron., Vol. 2, No. 2, pp. 285-295, Jun. 2014.   DOI
36 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.   DOI