Mechanical resonance suppression method based on active disturbance rejection control in two-mass servo system

被引:0
|
作者
Tae-Gyeom Woo
Bum-Jin Kim
Young-Doo Yoon
机构
[1] Hanyang University,Department of Automotive Engineering (Automotive
[2] Hanyang University,Computer Convergence)
来源
Journal of Power Electronics | 2022年 / 22卷
关键词
Active disturbance rejection control; Disturbance suppression; Resonance; Two-mass system;
D O I
暂无
中图分类号
学科分类号
摘要
A method for suppressing the mechanical resonance of servo drives in a two-mass system coupled with a flexible shaft is proposed. Active disturbance rejection control considers the disturbance component of all torques, except for the torque of the moment of inertia of the drive motor, as the total disturbance, which is estimated using an extended state observer. In this paper, we use reduced-order active disturbance rejection control (RADRC) based on a reduced-order extended state observer to lower the order of the observer's gain. RADRC can reduce the order and thus increase the observer’s bandwidth. In addition, by lowering the moment of inertia of the drive motor used in the observer, the observer’s bandwidth can be increased, and the stability of the servo system can be ensured. The speed controller uses only the P controller to reduce the magnitude of the overshoot for the step response. To accurately reflect the system, the proposed method was designed in the discrete time domain. As a result, the proposed method can reliably suppress vibrations caused by the resonance of the mechanical system. Simulations and experiments on a 1.1 kW surface-mounted permanent magnet synchronous motor confirmed the effectiveness of the proposed method.
引用
收藏
页码:1324 / 1333
页数:9
相关论文
共 50 条
  • [41] Two-mass System Vibration Suppression Method Based on the Mechanism Output Speed Processing
    Lindr, D.
    Rydlo, P.
    Martinec, T.
    12TH INTERNATIONAL CONFERENCE ON LOW VOLTAGE ELECTRICAL MACHINES, 2012, : 91 - 96
  • [42] Simplified Inverse Control Method for Two-Mass Servomechanism Vibration Suppression
    Lindr, David
    Rydlo, Pavel
    Jirasko, Petr
    2014 ELEKTRO, 2014, : 186 - 191
  • [43] AN ACTIVE DISTURBANCE REJECTION CONTROL APPROACH IN A VIBRATING MECHANICAL SYSTEM
    Beltran-Carbajal, F.
    Damian-Noriega, Z.
    Alvarez-Miranda, G.
    Villanueva-Pruneda, S.
    PROCEEDINGS OF THE 22ND INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: MAJOR CHALLENGES IN ACOUSTICS, NOISE AND VIBRATION RESEARCH, 2015, 2015,
  • [44] Double-loop compensated active disturbance rejection control of electromechanical servo system based on composite disturbance observer
    Su, Zhenhao
    Shi, Wankai
    Duan, Jiandong
    Xu, Lang
    Zhou, Mingliang
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 266
  • [45] FPGA-Based Active Disturbance Rejection Control for Antenna Servo Systems
    Zuo, Zhiqiang
    Li, Yao
    Wang, Yijing
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 2503 - 2510
  • [46] Mechanical Resonance Suppression of Servo System Based on ADRC and MAFC
    Wu Bo
    Lu Shaowu
    Ning Bowen
    Zhou Fengxing
    Tang Xiaoqi
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2447 - 2452
  • [47] Optimization of Active Disturbance Rejection Control System for Vehicle Servo Platform Based on Artificial Intelligence Algorithm
    Yang, Fei
    Su, Xiaopeng
    Ren, Xuemei
    ELECTRONICS, 2025, 14 (04):
  • [48] Research on servo valve-controlled hydraulic motor system based on active disturbance rejection control
    Duan, Zhijie
    Sun, Chungeng
    Li, Jipeng
    Tan, Yin
    MEASUREMENT & CONTROL, 2024, 57 (02): : 113 - 123
  • [49] Adaptive fuzzy control method for mechanical resonance suppression of servo systems
    Du R.-H.
    Tao C.-R.
    Zhang W.
    Zhang J.
    Sun J.-X.
    Du, Ren-Hui, 2017, Editorial Department of Electric Machines and Control (21): : 116 - 122
  • [50] Study of Pneumatic Servo System Based on Linear Active Disturbance Rejection Controller
    Bo, Wang
    Tao, Wang
    Ying, Jin
    Wei, Fan
    Yu, Wang
    2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING, 2013, : 1170 - 1174