Simulation and experiment on active vibration isolation with an adaptive method

被引:13
|
作者
Zhang, Z-Y [1 ]
Hu, F. [1 ]
Hua, H-X [1 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
active vibration isolation; adaptive control; tracking filtering; saturation suppression; NOISE; DISTURBANCE; ALGORITHM; SYSTEM; SOUND;
D O I
10.1243/14750902JEME184
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
An adaptive controller for active vibration isolation is proposed on the basis of the filtered-x least-mean-squares method and enhanced with an anti-saturation scheme. In this method, vibration responses induced by a multi-tonal disturbance are decomposed into harmonic components with in-parallel tracking filters and attenuated independently. The centre frequencies of the tracking filters are adjusted by the recursively estimated frequencies of signal components. The anti-saturation scheme is derived on the basis of the normalized least-mean-squares algorithm, which is adopted to prevent excessive adaptation of weights in the presence of strong disturbances. Simulation and experiment on an active vibration isolation system consisting of a cylindrical shell and four actuators are conducted to examine the performance of the given adaptive control algorithm. Results have demonstrated that the adaptive method is effective in vibration isolation as well as saturation suppression, and the performance of active vibration isolation is related closely to structural vibration modes when control channels in multi-channel active isolation are strongly coupled.
引用
收藏
页码:225 / 238
页数:14
相关论文
共 50 条
  • [21] Active Vibration Isolation Method for Cold Atom Gravimeter Based on Adaptive Fuzzy Sliding Mode Control
    Luo, Dongyun
    Shu, Tong
    Peng, Hui
    Chen, Yanfang
    Jian, FangPing
    Cheng, Bing
    2024 4TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND INTELLIGENT SYSTEMS ENGINEERING, MLISE 2024, 2024, : 20 - 23
  • [22] Research and experiment on adaptive active control of vibration of car body parts
    Zhou, Wei
    Jin, Xiao-Xiong
    Tongji Daxue Xuebao/Journal of Tongji University, 2002, 30 (08): : 979 - 982
  • [23] Design and Experiment of Adaptive Active Vibration Control System for Aircraft Framework
    Sun, Wei
    Gao, Zhiyuan
    Tang, Di
    Zhu, Xiaojin
    SYSTEMS SIMULATION AND SCIENTIFIC COMPUTING, PT I, 2012, 326 : 197 - 204
  • [24] Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System
    Zhao, Bo
    Shi, Weijia
    Zhang, Ming
    Li, Jiaxin
    Li, Feng
    COMPLEXITY, 2018,
  • [25] Integrated platform for micro-vibration simulation and active-passive vibration isolation
    Qin C.
    Zhou H.
    He S.
    Xu Z.
    Zhu H.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2024, 32 (05): : 694 - 703
  • [26] The adaptive fuzzy PID control study of active vibration isolation system
    Yan, Lin
    Ding, Liu Wen
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 1120 - 1123
  • [27] Investigation on active vibration isolation with multi-axis control: Analysis and experiment
    Ren, Mingke
    Zheng, Shiruo
    Xie, Xiling
    Zhang, Zhiyi
    JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (15-16) : 3677 - 3691
  • [28] Simulation and experiment on the performance of a passive/active micro-vibration isolator
    Wang, Chaoxin
    Chen, Yanhao
    Zhang, Zhiyi
    JOURNAL OF VIBRATION AND CONTROL, 2018, 24 (03) : 453 - 465
  • [29] Study on an active vibration isolation method based on neural network
    Shu, Lihong
    Zhang, Lei
    Fu, Yongling
    Liu, Yongguang
    Jixie Qiandu/Journal of Mechanical Strength, 2007, 29 (02): : 192 - 195
  • [30] STUDY ON AN ACTIVE VIBRATION ISOLATION SYSTEM - A LEARNING CONTROL METHOD
    TAKAGAMI, T
    NOISE CONTROL ENGINEERING JOURNAL, 1984, 23 (03) : 111 - 111