MPC-based torque control of permanent magnet synchronous motor for electric vehicles via switching optimization
Tóm tắt
In order to effectively achieve torque demand in electric vehicles (EVs), this paper presents a torque control strategy based on model predictive control (MPC) for permanent magnet synchronous motor (PMSM) driven by a two-level three-phase inverter. A centralized control strategy is established in the MPC framework to track the torque demand and reduce energy loss, by directly optimizing the switch states of inverter. To fast determine the optimal control sequence in predictive process, a searching tree is built to look for optimal inputs by dynamic programming (DP) algorithm on the basis of the principle of optimality. Then we design a pruning method to check the candidate inputs that can enter the next predictive loop in order to decrease the computational burden of evaluation of input sequences. Finally, the simulation results on different conditions indicate that the proposed strategy can achieve a tradeoff between control performance and computational efficiency.
Tài liệu tham khảo
B. Gasbaoui, A. Nasri. A novel 4WD electric vehicle control strategy based on direct torque control space vector modulation technique. Nonlinear Engineering, 2012, 3: 236–242.
P. Liu, H. P. Liu. Permanent-magnet synchronous motor drive system for electric vehicles using bidirectional Z-source inverter. IET Electrical Systems in Transportation, 2012, 4(2): 178–185.
C. H. T. Lee, K. T. Chau, C. H. Liu. Design and analysis of an electronic-geared magnetless machine for electric vehicles. IEEE Transactions on Industrial Electronics, 2016, 63(11): 6705–6714.
K. C. Kim. A novel calculation method on the current information of vector inverter for interior permanent magnet synchronous motor for electric vehicle. IEEE Transactions on Magnetics, 2014, 50(2): 829–832.
D. Casadei, F. Profumo, G. Serra. FOC and DTC: two viable schemes for induction motors torque control. IEEE Transactions on Power Electronics, 2002, 17(5): 779–787.
J. Rodriguez, P. Cortés. Predictive Control of Power Converters and Electrical Drives. Chichester: John Wiley & Sons,2012.
T. Geyer, G. Papafortiou, M. Morari. Model predictive direct torque contro–Part I: Concept, algorithm, and analysis. IEEE Transactions on Industrial Electronics, 2009, 56(6): 1894–1905.
C. Bordons, C. Montero. Basic principles of MPC for power converters. IEEE Industrial Electronics Magazine, 2015, 9(3): 31–43.
P. K. Manakos, T. Geyer, N. Oikonomou, et al. Direct model predictive control: A review of strategies that achieve long prediction intervals for power electronics. IEEE industrial Electronics Magazine, 2014, 8(1): 32–43.
P. Cortés, M. P. Kazmierkowski, R. M. Kennel, et al. Predictive control in power electronics and drives. IEEE Transactions on Industrial Electronics, 2008, 55(12): 4312–4324.
F. Morel, X. F. Lin-Shi, J. M. Rétif, et al. A comparative study of predictive current control schemes for a permanent-magnet synchronous machine drive. IEEE Transactions on Industrial Electronics, 2009, 56(7): 2715–2728.
M. Preindl, S. Bolognani. Model predictive direct torque control with finite control set for pmsm drive systems, part 1: Maximum torque per ampere operation. IEEE Transactions on Industrial Informatics, 2013, 9(4): 1912–1921.
J. J. Hong, D. H. Pan, Z. J. Zong. Comparison of the two current predictive-control methods for a segment-winding permanentmagnetlinear synchronous motor. IEEE Transactions on Plasma Science, 2013, 41(5): 1167–1173.
F. Barrero, J. Prieto, E. Levi, et al. An enhanced predictive current control method for asymmetrical six-phase motor drives. IEEE Transactions on Industrial Electronics, 2011, 58(8): 3242–3252.
S. Kouro, P. Coréts, R. Vargas, et al. Model predictive controla simple and powerful method to control power converters. IEEE Transactions on Industrial Electronics, 2009, 56(6): 1826–1838.
G. Prior, M. Krstic. A control Lyapunovapproach to finite control set model predictive control for permanent magnet synchronous motors. ASME Journal of Dynamic Systems, Measurement, and Control, 2015, 137(1): 1–10.
M. J. Duran, J. Prieto, F. Barrero, et al. Predictive current control of dual three-phase drives using restrained search techques. IEEE Transactions on Industrial Electronics, 2011, 58(8): 3253–3263.
T. Geyer. Computationally efficient model predictive direct torque control. IEEE Transactions on Power Electronics, 2011, 26(10): 2804–2816.
D. P. Bertsekas. Dynamic Programming and Optimal Control. 3rd ed. Nashua: Athena Scientific,2005.
D. Graovac, M. Pürschel. IGBT Power Losses Calculation Using the Data-Sheet Parameters. 129th ed. Neubiberg: Infineon Technologies AG,2009.
H. Chen, F. Allgöwer. A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica, 1998, 34(10): 1205–1217.
H. Chen. Model Predictive Control. 1st ed. System and Control Series. Beijing: Science Press,2013.
J. F. Stumper, A. Döltinger, R. Kennel. Classical model predictive control of a permanent magnet synchronous motor. EPE Journal, 2012, 22(3): 24–31.
E. L. Lawler, D. E. Wood. Branch-and-bound methods: A survey. Operations Research, 1996, 14(4): 699–719.