• DocumentCode
    2079053
  • Title

    An IMC- PIλ Dμ controller design for fractional calculus system

  • Author

    Li Dazi ; Fan Weiguang ; Jin Qibing ; Tan Tianwei

  • Author_Institution
    Dept. of Autom., Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3581
  • Lastpage
    3585
  • Abstract
    This paper studies on fractional PIλDμ controller tuning, in particular, on controller tuning of processes described by fractional transfer function. Fractional PIλ Dμ controller is a generalization of integer PID controller and has more advantages over integer controller, but the scarcity of tuning methods for the fractional PIλ Dμ is still a problem to be resolved. In this paper, a random search optimization method is first introduced for fractional order model reduction. Then the parameters of fractional order controllers are tuned by internal model control (IMC) based method. Research results show that the reduced fractional order model has a better approximation to original system and much smaller error compared with the integer order approximation. And therefore through IMC method, an appropriate fractional PIλ Dμ controller can be achieved based on the model. Experimental results are given to illustrate the effectiveness of this method.
  • Keywords
    approximation theory; calculus; nonlinear control systems; random processes; search problems; three-term control; transfer functions; IMC- PIλ Dμ controller design; fractional calculus system; internal model control; random search optimization method; transfer function; tuning methods; Approximation methods; Computational modeling; Fractional calculus; Process control; Reduced order systems; Tuning; Fractional Order System; Fractional PIλ Dμ Controller; Internal Model Control; Model Reduction; Parameters Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572347