Active Vibration Control of Piezoelectricity Cantilever Beam Using an Adaptive Feedforward Control Method

被引:0
|
作者
Yue, Jun-Zhou [1 ]
Zhu, Qiao [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Sichuan, Peoples R China
关键词
Vibration Control; Adaptive Feedforward Controller; Piezoelectric Cantilever Beam; Disturbance Frequencies; PERIODIC DISTURBANCES; NOISE-CONTROL; REJECTION; PERFORMANCE; ATTENUATION; SYSTEMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work is focused on the active vibration control of piezoelectric cantilever beam, where an adaptive feeedforward controller (AFC) is utilized to reject the vibration with unknown multiple frequencies. First, the experiment setup and its mathematical model are introduced. Because the channel between the disturbance and the vibration output is unknown in practice, a concept of equivalent input disturbance (EID) is used to put a equivalent disturbance into the input channel. In this situation, the vibration control can be realized by setting the control input be the identified EID. Then, for the disturbance with known frequencies, the AFC is introduced to reject the disturbance but is sensitive to the frequencies. In order to accurately identify the unknown frequencies of disturbance in presence of the random disturbances and un-modeled nonlinear dynamics, the time-frequency-analysis method is adopted to precisely identify the unknown frequencies of the disturbance. Finally, experiments results demonstrate the efficiency of the AFC algorithm.
引用
收藏
页码:117 / 122
页数:6
相关论文
共 50 条
  • [41] Dynamic Modelling of a Flexible Beam Structure Using Feedforward Neural Networks for Active Vibration Control
    Rahman, T. A. Z.
    As'arry, A.
    Jalil, N. A. Abdul
    Kamil, R.
    INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2019, 16 (01) : 6263 - 6280
  • [42] Method of robust adaptive active vibration control
    Yang, Yanli
    Zhang, Junjie
    Tang, Jianzhong
    Shi, Weixiang
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 1997, 31 (07): : 7 - 11
  • [43] Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
    Rahman T.A.Z.
    As'arry A.
    Abdul Jalil N.A.
    Kamil R.
    International Journal of Automotive and Mechanical Engineering, 2019, 16 (01): : 6263 - 6280
  • [44] Vibration control of a cantilever beam using distributed PVDF actuator
    Pereira, D
    Shankar, VN
    Sathiyanaarayan, S
    Rao, CL
    Sivakumar, SM
    SMART MATERIALS, STRUCTURES, AND SYSTEM, PTS 1 AND 2, 2003, 5062 : 598 - 604
  • [45] Optimizing time delay feedback for active vibration control of a cantilever beam using a genetic algorithm
    Mirafzal, Seyed Hamed
    Khorasani, Amir Mahyar
    Ghasemi, Amir Hossein
    JOURNAL OF VIBRATION AND CONTROL, 2016, 22 (19) : 4047 - 4061
  • [46] Active vibration control of a gear pair using a direct hybrid adaptive control method
    Guan, YH
    Lim, TC
    Shepard, WS
    SMART STRUCTURES AND MATERIALS 2002: MODELING, SIGNAL PROCESSING, AND CONTROL, 2002, 4693 : 360 - 371
  • [47] Active Vibration Control of a Double-Decker Cantilever Beam Using Shape Memory Alloy
    Yang, Xin
    Hong, Jie
    Ma, Yan Hong
    Zhang, Da Yi
    VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT II, PTS 1-3, 2012, 226-228 : 252 - 256
  • [48] Vibration control of Piezoactuated Cantilever Beams using Adaptive filtering
    Marx, L. R. Karl
    Swathi, L.
    2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2013, : 1179 - 1182
  • [49] Multiple model switching adaptive control for vibration control of cantilever beam with varying load using MFC actuators and sensors
    Gao, Zhiyuan
    Huang, Jiaqi
    Miao, Zhonghua
    Zhu, Xiaojin
    SMART STRUCTURES AND SYSTEMS, 2020, 25 (05) : 559 - 567
  • [50] Adaptive feedforward control of vibration of a beam with active-passive damping treatments: Numerical analysis and experimental implementation
    Vasques, C. M. A.
    Rodrigues, J. Dias
    SIXTEENTH INTERNATIONAL CONFERENCE ON ADAPTIVE STRUCTURES AND TECHNOLOGIES, 2006, : 255 - 262