Abstract
A simplified model predictive current control strategy based on mathematical auxiliary line method is proposed to increase the permanent magnet synchronous motor (PMSM) predictive current control system’s steady-state performance while reducing the system’s computational complexity. The mathematical models of current prediction, first-order compensation, and cost function are presented by analyzing the prediction current control strategy of the conventional models. Within a control cycle, the simplified model predictive current control algorithm applies two voltage vectors and omits the error calculation of cost function. The anticipated voltage of transformer obtained from the beat-free current control standard is considered the reference voltage, and the judgment of the area, where the reference voltage vector is found and the strategy for double voltage vector is selected, is put forward. The optimal voltage vector can be directly output without the error calculation of the cost function in the method, thereby effectively reducing the computation load and complexity of the system and improving the steady-state performance. Experimental results verify the validity and accuracy of the proposed simplified model of predictive current control strategy for PMSM control.
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References
Nian, Y., Zhou, Y.J., et al.: Field weakening control strategy of open-winding permanent magnet synchronous motor with common DC bus. Proc. Chin. Soc. Elect. Eng. 38(21), 6461–6469 (2018)
Sun, H.X., Zhang, H.S., et al.: Fault tolerant control strategy for three-phase 3H bridge inverter in integrated drive control system of electric vehicle. J. Elect. Mach. Control 20(11), 107–116 (2016)
Liu, S., Gao, L.: Improved model predictive direct torque control of permanent magnet synchronous motors. J. Elect. Mach. Control 24(1), 10–17 (2020)
Peng, X.W., Gao, H.L.: Improved diagonal recurrent neural network PI control strategy for permanent magnet synchronous motor. J. Elect. Mach. Control 23(4), 126–132 (2019)
Lin, X.G., Huang, W.X., et al.: Direct torque control for three-phase open-end winding PMSM with common dc bus based on duty ratio modulation. IEEE Trans. Power Electron. 35(4), 4216–4232 (2020)
Casadei, D., Profumo, F., et al.: FOC and DTC: two viable schemes for induction motors torque control. IEEE Trans. Power Electron. 17(5), 779–787 (2002)
Yu, F., Zhu, C.G., et al.: Three-level two-vector model predictive flux linkage control of permanent magnet synchronous motor based on vector partition. Trans. China Electrotech. Soc. 35(10), 2130–2140 (2002)
Li, Y.H., Liu, W.G.: Unreasonable torque ripple in direct torque control of permanent magnet synchronous motor. J. Elect. Mach. Control 11(2), 148–152 (2007)
Kouro, S., Perez, M.A., et al.: Model predictive control: MPC’s role in the evolution of power electronics. IEEE Ind. Electron. Mag. 9(4), 8–21 (2015)
Defay, F., Llor, A.M., et al.: Direct control strategy for a four-level three-phase flying-capacitor inverter. IEEE Trans. Industr. Electron. 57(7), 2240–2248 (2010)
Zhang, Y., Xu, D., et al.: Performance improvement of model predictive current control of permanent magnet synchronous motor drives. IEEE Trans. Ind. Electron. 53(4), 3683–3695 (2017)
Zhang, Y., Peng, Y., et al.: Performance improvement of two vectors-based model predictive control of PWM rectifier. IEEE Trans. Industr. Electron. 31(8), 6016–6030 (2016)
Niu, L., Yang, M., et al.: Current predictive control algorithm for permanent magnet synchronous motor. Chin. J. Elect. Eng. 32(6), 131–139 (2012)
Wang, Y.C., Li, H.M.: Modulated Model Free predictive control with minimum switching losses for PMSM drive system. IEEE Access 8, 20942–20953 (2020)
Zhang, X.G., Zhang, L., et al.: Model predictive current control for PMSM drives with parameter robustness improvement. IEEE Trans. Power Electron. 34(2), 1645–1657 (2019)
Liu, J.M., Ge, Z.Y., et al.: Predictive current control of permanent magnet synchronous motor based on duty cycle modulation. Chin. J. Elect. Eng. 40(10), 3319–3327 (2020)
Vazquez, S., Montero, C., et al.: Model predictive control of a VSI with long prediction horizon. IEEE Int. Sympos. Indust. Electron. 2011, 1805–1810 (2011)
Karamanakos, P., Geyer, T., et al.: Long- horizon direct model predictive control: modified sphere decoding for transient operation. IEEE Trans. Ind. Appl. 54(6), 6060–6070 (2018)
Sun, X.D., Hu, C.C., et al.: MPTC for PMSMs of EVs with multi-motor driven system considering optimal energy allocation. IEEE Trans. Magn. 55(7), 1–6 (2019)
Wu, M.K., Sun, X.D., et al.: An improved model predictive torque control for PMSM drives based on duty cycle optimization. IEEE Trans. Magn. 57(2), 1–5 (2021)
Sun, X.D., Wu, M.K., et al.: An improved model predictive current control for PMSM drives based on current track circle. IEEE Trans. Ind. Electron. 68(5), 3782–3793 (2021)
Cheng, Y., Sun, D., et al.: Model predictive current control for an open-winding PMSM system with a common DC bus in 3-D space. IEEE Trans. Power Electron. 35(9), 9597–9607 (2020)
Acknowledgements
This research was supported by the National Natural Science Foundation of China (62076152), National Natural Science Foundation of China (62073200), National Key R&D Program of China (2018YF C1707104), and Shandong Provincial Postgraduate Education Quality Improvement Program of China (SDYA119108).
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Zhang, H., Zhu, S., Jiang, J. et al. Simplified model prediction current control strategy for permanent magnet synchronous motor. J. Power Electron. 22, 1860–1871 (2022). https://doi.org/10.1007/s43236-022-00490-2
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DOI: https://doi.org/10.1007/s43236-022-00490-2