• DocumentCode
    3030401
  • Title

    Genetic Multivariable PID Controller Based on IMC

  • Author

    Kermanshachi, Sh. ; Sadati, N.

  • Author_Institution
    Azad Univ. Sci. & Res. Branch, Tehran
  • fYear
    2007
  • fDate
    24-27 June 2007
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    A new approach for PID tuning, based on GA (Genetic algorithm) and Internal Model Control (IMC) technique, is presented in this paper. PID tuning is based on using Method. The IMC technique reduces the number of parameters that must be tuned for a multivariable system using PID controller. The algorithm uses GA for optimal determination of IMC variables. Simulation results present the good performance of the proposed method.
  • Keywords
    genetic algorithms; multivariable systems; three-term control; genetic algorithm; genetic multivariable PID controller; internal model control; Control systems; Electric variables control; Electrical equipment industry; Feedback; Genetic algorithms; Industrial control; MIMO; Process control; Three-term control; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-1213-7
  • Electronic_ISBN
    1-4244-1214-5
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2007.383832
  • Filename
    4271055