• DocumentCode
    2120432
  • Title

    The Tuning of Fractional Order PI[lambda]D[mu] Controller Parameters Based on Immune Clone Selection Algorithm

  • Author

    Xiao-min, Tian ; You-rui, Huang

  • Author_Institution
    Inst. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
  • fYear
    2010
  • fDate
    24-26 Dec. 2010
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    The application technology of traditional PID controller has been very mature, but in complex industrial production, the controlled object often is non-linear or time-varying, traditional PID controller often can not reach the desired effect, which introduces the concept of fractional order PIλDμ controller. Fractional order PIλDμ controller is a generalization of traditional PID controller and it has the very good effect to the system that has nonlinear and time-varying links, but the scarcity of tuning methods of the fractional order PIλDμ controller is still a problem to be resolved. This article presents a new method that tunes the parameters of fractional order PIλDμ controller by using immune clone selection algorithm and then implements simulation by using matlab. The simulation results demonstrate that use fractional order controller can get better control effect than traditional PID controller.
  • Keywords
    industrial control; nonlinear control systems; three-term control; time-varying systems; tuning; PID controller; complex industrial production; fractional order PIλDμ controller tuning; immune clone selection algorithm; nonlinear controller; time varying link; time-varying controller; tuning method scarcity; Calculus; Cloning; Control systems; Immune system; Optimization; Process control; Tuning; PI?D? immune clone selection algorithm; fractional order controller; parameters tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2010 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-61284-428-2
  • Type

    conf

  • DOI
    10.1109/ISISE.2010.23
  • Filename
    5945121