Vol. 110

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2022-06-06

Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-DITC

By Yang Yang, Aide Xu, Bing Leng, Jinghao Sun, and Kuo Li
Progress In Electromagnetics Research M, Vol. 110, 211-221, 2022
doi:10.2528/PIERM22040803

Abstract

Aiming at the problem of large torque ripple caused by large tracking error between actual torque and reference torque in commutation region in direct instantaneous torque control (DITC) algorithm of switched reluctance motor (SRM) based on torque sharing function (TSF), a torque compensation method combining TSF-DITC and model predictive control (MPC) is proposed. Sectors are subdivided in the commutation region according to the rotor position. Different voltage states are selected in different sectors to fully compensate for the tracking error between the actual phase torque and the reference torque distributed by TSF, and then the total torque ripple is greatly reduced. At the same time, the algorithm also effectively reduces the candidate voltage states at the current time and reduces the computational burden. The simulation comparison with TSF-DITC shows that the algorithm (TSF-PDITC) has better steady-state and dynamic performance.

Citation


Yang Yang, Aide Xu, Bing Leng, Jinghao Sun, and Kuo Li, "Torque Compensation Method of Switched Reluctance Motor Adopting MPC Based on TSF-DITC," Progress In Electromagnetics Research M, Vol. 110, 211-221, 2022.
doi:10.2528/PIERM22040803
http://www.jpier.org/PIERM/pier.php?paper=22040803

References


    1. Bilgin, B., et al., "Making the case for switched reluctance motors for propulsion applications," IEEE Transactions on Vehicular Technology, Vol. 69, No. 7, 7172-7186, 2020.
    doi:10.1109/TVT.2020.2993725

    2. Zan, X., et al., "Modular battery management for SRM drives in hybrid vehicles based on a novel modular converter," IEEE Access, Vol. 8, No. 1, 136296-136306, 2020.
    doi:10.1109/ACCESS.2020.3011451

    3. Aiso, K. and A. Kan, "High speed SRM using vector control for electric vehicle," Transactions on Electrical Machines and Systems, Vol. 4, No. 1, 61-68, 2020.
    doi:10.30941/CESTEMS.2020.00009

    4. Sun, Q., et al., "Multi-level converter-based torque sharing function control strategy for switched reluctance motors," International Conference on Electrical Machines Systems, 1-5, IEEE, 2017.

    5. Liu, Y., L. I. Jie, and C. Shan, "Direct instantaneous torque control of switched reluctance motor based on optimal angle adaptive TSF," Journal of Beijing University of Aeronautics and Astronautics, Vol. 45, No. 11, 2152-2159, 2019.

    6. Li, Z. and Z. Kan, "A high efficiency direct instantaneous torque control of SRM," Transactions of China Electro technical Society, Vol. 25, No. 8, 31-37, 2010.

    7. Valenciagarcia, D. F., et al., "A review of predictive control techniques for switched reluctance machine drives," IEEE Transactions on Energy Conversion, Vol. 36, No. 2, 1323-1335, 2020.
    doi:10.1109/TEC.2020.3047981

    8. Valenciagarcia, D. F., et al., "A review of predictive control techniques for switched reluctance machine drives. Part II: Torque control, assessment and challenges," IEEE Transactions on Energy Conversion, Vol. 36, No. 2, 1323-1335, 2020.
    doi:10.1109/TEC.2020.3047981

    9. Elmorshedy, M. F., et al., "Recent achievements in model predictive control techniques for industrial motor: A comprehensive state-of-the-art," IEEE Access, Vol. 9, No. 1, 58170-58191, 2021.
    doi:10.1109/ACCESS.2021.3073020

    10. Shang, C., et al., "Flux linkage optimization for direct torque control of switched reluctance motor based on model predictive control," IEEE Transactions on Electrical and Electronic Engineering, Vol. 14, No. 7, 1105-1113, 2019.
    doi:10.1002/tee.22906

    11. Hu, K., L. Guo, and J. Ye, "Model predictive current control of mutually coupled switched reluctance machines using a three-phase voltage source converter," IEEE Applied Power Electronics Conference and Exposition (APEC), 704-710, New Orleans, 2020.
    doi:10.1109/APEC39645.2020.9124115

    12. Le-Huy, H. and P. Brunelle, "A versatile nonlinear switched reluctance motor model in Simulink using realistic and analytical magnetization characteristics," Industrial Electronics Society, 6, 2005.