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Automotive Engineering ›› 2024, Vol. 46 ›› Issue (5): 923-934.doi: 10.19562/j.chinasae.qcgc.2024.05.018

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Improved High-order Linear Active Disturbance Rejection Control for EMB Motor Considering Parameter Perturbation

Guodong Wang1,2,Lifang Wang1,2(),Yan Wu1,2(),Junzhi Zhang3   

  1. 1.Institute of Electrical Engineering Chinese Academy of Sciences,Beijing 100190
    2.University of Chinese Academy of Sciences,Beijing 100049
    3.School of Vehicle and Mobility,Tsinghua University,Beijing 100084
  • Received:2023-10-29 Revised:2023-11-13 Online:2024-05-25 Published:2024-05-17
  • Contact: Lifang Wang,Yan Wu E-mail:wlf@mail.iee.ac.cn;wuyan@mail.iee.ac.cn

Abstract:

In order to improve the safety and reliability of the EMB and improve the fault tolerance and disturbance rejection ability of the EMB drive system, a cascade vector control system based on improved high-order linear active disturbance rejection controllers (HLADRC) is proposed. The design method for improved HLADRC controller is proposed, which improves the system's low-frequency disturbance rejection ability and reduces the sensitivity to high-frequency noise. The types of disturbance in the motor drive system are analyzed and summarized, and the improved HLADRC controller's robustness to the motor's parameter perturbation is theoretically analyzed and derived. The simulation and experimental results show that the control strategy and control algorithm can suppress various types of disturbances in the motor drive system, including motor parameter changes, load disturbances, current cross-coupling, and wide frequency domain disturbances, verifying its effectiveness. Finally, the EMB drive system achieves disturbance rejection control under 5 times motor parameter perturbation. The dynamic performance of the EMB drive system at high speed is improved through dynamic decoupling. The control strategy and control algorithm significantly improve the fault tolerance and robustness of the EMB drive system.

Key words: EMB, PMSM, active disturbance rejection control, parameter perturbation, dynamic decoupling