Model-Compensated Active Disturbance Rejection Control for PMSM Based on Parameters Identification

被引:0
|
作者
Liu, Hong [1 ]
Tian, Dewen [1 ]
Wang, Yaqing [1 ]
Liu, Huayuan [1 ]
机构
[1] China North Vehicle Res Inst, Beijing, Peoples R China
关键词
permanent magnet synchronous motor; active disturbance rejection control; model compensation; inertia identification; adaptive control;
D O I
10.1109/ICRCA60878.2024.10649166
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To achieve high-speed and precise control of a servo permanent magnet synchronous motor (PMSM) under multiple load conditions while mitigating the decline in dynamic performance caused by unknown disturbances and system parameter changes, an active disturbance rejection control (ADRC) method based on model compensation is proposed. Building on the foundation of a two-order position-speed compound ADRC, rotational inertia identification algorithm based on model reference adaptation is designed according to the mechanical motion equation of the PMSM. Additionally, a load torque observer based on the Luenberger observer is designed, which adaptively adjusts the control parameters of ADRC based on the identification and observation results. Simulation results show that the designed identification and observation algorithm are effective with a relatively fast convergence rate. The proposed control algorithm possesses superior parameter robustness and exhibits high control performance under multiple load conditions.
引用
收藏
页码:318 / 324
页数:7
相关论文
共 50 条
  • [41] A new PMSM speed modulation system with sliding mode based on active-disturbance-rejection control
    荣智林
    黄庆
    Journal of Central South University, 2016, 23 (06) : 1406 - 1415
  • [42] Sliding mode active disturbance rejection control for PMSM based on improved grey wolf optimization algorithm
    Zhao X.-M.
    Chen G.-G.
    Jin H.-Y.
    Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2022, 26 (11): : 132 - 140
  • [43] A new PMSM speed modulation system with sliding mode based on active-disturbance-rejection control
    Zhi-lin Rong
    Qing Huang
    Journal of Central South University, 2016, 23 : 1406 - 1415
  • [44] Multiscenarios Parameter Optimization Method for Active Disturbance Rejection Control of PMSM Based on Deep Reinforcement Learning
    Wang, Yicheng
    Fang, Shuhua
    Hu, Jianxiong
    Huang, Demin
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (11) : 10957 - 10968
  • [45] A Novel Active Disturbance Rejection Control of PMSM Based on Deep Reinforcement Learning for More Electric Aircraft
    Wang, Yicheng
    Fang, Shuhua
    Hu, Jianxiong
    Huang, Demin
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2023, 38 (02) : 1461 - 1470
  • [46] Speed Control Strategy of PMSM Based on Improved Auto Disturbance Rejection Control
    Zhao, Yueling
    Li, Hongyu
    Gao, Xuhong
    Guo, Dong
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 4355 - 4358
  • [47] Disturbance prediction based active disturbance rejection control approach
    Li, Chongling
    Cai, Tao
    Han, Zeyu
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 5896 - 5900
  • [48] Research on speed estimation of PMSM based on active-disturbance rejection controller
    School of Electrical and Automation Engineering, Tianjin University, Tianjin 300072, China
    Xitong Fangzhen Xuebao, 2007, 3 (582-584):
  • [49] Direct Speed. Control Loop based on Second Order Active Disturbance Rejection Control Scheme for PMSM Drives
    Diab, Ahmed M.
    Yeoh, Seang Shen
    Guo, Feng
    Bozhko, Serhiy
    Gerada, Chris
    Galea, Michael
    2021 IEEE 12TH ENERGY CONVERSION CONGRESS AND EXPOSITION - ASIA (ECCE ASIA), 2021, : 543 - 547
  • [50] Adaptive sliding mode control based on a combined state/disturbance observer for the disturbance rejection control of PMSM
    Ge, Yang
    Yang, Lihui
    Ma, Xikui
    ELECTRICAL ENGINEERING, 2020, 102 (04) : 1863 - 1879