• DocumentCode
    550668
  • Title

    Multivariable self-tuning control for nonlinear MIMO system using quasi-ARX RBFN model

  • Author

    Wang Lan ; Cheng Yu ; Hu Jinglu

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    3772
  • Lastpage
    3776
  • Abstract
    This paper proposes a multi-input and multi-output (MIMO) quasi-ARX model and a multivariable decoupling proportional-integral-differential (PID) controller for MIMO nonlinear systems based on the proposed model. The proposed controller consists of a traditional PID controller with a decoupling compensator and a feed-forward compensator for the nonlinear dynamics from the MIMO quasi-ARX model. Then an adaptive control algorithm is presented using the MIMO quasi-ARX Radial Basis Function Network (RBFN) prediction model. Simulation results show the effectiveness of the proposed control method.
  • Keywords
    MIMO systems; compensation; neurocontrollers; nonlinear control systems; radial basis function networks; three-term control; PID; Quasi-ARX RBFN model; decoupling compensator; feedforward compensator; multi-input and multi-output; multivariable self tuning control; nonlinear MIMO system; nonlinear dynamics; proportional integral differential controller; radial basis function network; Adaptation models; Adaptive systems; Control systems; MIMO; Nonlinear systems; Polynomials; Predictive models; MIMO Nonlinear System; MIMO Quasi-ARX Model; MIMO Quasi-ARX Radial RBFN Predictor; Multivariable Decoupling PID Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001007