• DocumentCode
    3101531
  • Title

    A Study About Fuzzy Control Algorithm Based on Neural Networks Forecast Model in Active Vibration Isolation Control System

  • Author

    Song, Renwang ; Chen, Linying

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Tai Yuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    405
  • Lastpage
    408
  • Abstract
    The paper designs fuzzy active vibration isolation control algorithm base on neural networks forecast model. It can make forecast for the moving state of vibration isolation platform at the next moment according to output of controller and vibration isolation platform at the current moment. Input this state to fuzzy controller adopts feed-back mode. Fuzzy controller makes diagnosis in advance and controls the vibration isolation platform. The simulation result shows that the algorithm not only limits surge of control signal but also can restrains super high size and has favorable effects for low frequency vibration signal.
  • Keywords
    feedback; neurocontrollers; vibration isolation; feedback mode; fuzzy active vibration isolation control; fuzzy control algorithm; low frequency vibration signal; neural networks forecast model; Acceleration; Algorithm design and analysis; Artificial neural networks; Control systems; Force; Fuzzy control; Vibrations; Neural networks forecast; active vibration isolation; fuzzy control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.98
  • Filename
    5636596