Vibration control of a structure with an MR damper using a neural network

被引:0
|
作者
Shiraishi, T [1 ]
Nakaya, N [1 ]
Morishita, S [1 ]
机构
[1] Yokohama Natl Univ, Grad Sch Environm & Informat Sci, Hodogaya Ku, Yokohama, Kanagawa 2408501, Japan
来源
SMART MATERIALS FOR ENGINEERING AND BIOMEDICAL APPLICATIONS, PROCEEDINGS | 2004年
关键词
magnetorheological fluid; damper; vibration control; neural network;
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
Magnetorheological ( MR) fluids are known as one of highly functional materials of which the yield shear stress can be varied in accordance with applied magnetic field strength. Because of their peculiar properties, MR fluids have been applied to various kinds of mechanical devices such as brakes, clutches, valves, etc. In this paper, a prototype of a variable damper using an MR fluid has been constructed and its typical performance has been measured. A three-story structural model is equipped with the MR damper, and the structural response has been measured under various conditions of excitation frequency, amplitude and damping properties produced by the MR damper. Furthermore, a neural 1 network has been applied to an adaptive vibration control system for the structure and the performance of the control system has been verified by experiments.
引用
收藏
页码:365 / 370
页数:6
相关论文
共 50 条
  • [31] A recurrent neural network emulator for the inverse dynamics of an MR damper
    Zhou, L
    Chang, CC
    ADVANCES IN STRUCTURAL DYNAMICS, VOLS I & II, 2000, 10 : 365 - 372
  • [32] Achieving a more robust neural network model for control of a MR damper by signal sensitivity analysis
    Wang, XT
    Chang, CC
    Du, F
    NEURAL COMPUTING & APPLICATIONS, 2002, 10 (04): : 330 - 338
  • [33] Achieving a More Robust Neural Network Model for Control of a MR Damper by Signal Sensitivity Analysis
    Xiaotong Wang
    Chih-Chen Chang
    Fang Du
    Neural Computing & Applications, 2002, 10 : 330 - 338
  • [34] ACTIVE CONTROL OF VIBRATION USING A NEURAL-NETWORK
    SNYDER, SD
    TANAKA, N
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (04): : 819 - 828
  • [35] Passive Vibration Control Analysis of a Mosque Structure Using Diagonal Bracing Damper and Toggle Bracing Damper
    Fikri, Julian
    Huang, Li-Jeng
    PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ), 2018, : 331 - 334
  • [36] Response control of fixed offshore structure with wind turbine using MR damper
    Jothinathan, Satheesh
    Kashyap, Subham
    Kumar, Deepak
    Saha, Nilanjan
    OCEANS 2022, 2022,
  • [37] MULTIPLE SMART MATERIAL APPLICATIONS USING SMA AND MR FLUID DAMPER FOR ROTOR VIBRATION CONTROL
    Aravindhan, T. S.
    Gupta, K.
    PROCEEDINGS OF THE ASME TURBO EXPO 2010, VOL 6, PTS A AND B, 2010, : 299 - 308
  • [38] Multi-mode cable vibration control using MR damper based on nonlinear modeling
    Huang, H. W.
    Liu, T. T.
    Sun, L. M.
    SMART STRUCTURES AND SYSTEMS, 2019, 23 (06) : 565 - 577
  • [39] Real-time hybrid testing of semiactive control strategies for vibration reduction in a structure with MR damper
    Zapateiro, M.
    Karimi, H. R.
    Luo, N.
    Spencer, B. F., Jr.
    STRUCTURAL CONTROL & HEALTH MONITORING, 2010, 17 (04): : 427 - 451
  • [40] Automotive MR damper modeling for semi-active vibration control
    Kasprzyk, Jerzy
    Wyrwal, Janusz
    Krauze, Piotr
    2014 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2014, : 500 - 505