• DocumentCode
    3169124
  • Title

    Fuzzy fractional-order PID controller design using multi-objective optimization

  • Author

    Hajiloo, Amir ; Wen-Fang Xie

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    1445
  • Lastpage
    1450
  • Abstract
    The design of the optimal fuzzy fractional-order PID controller is addressed in this work. A multi-objective genetic algorithm is used to design rule base and membership functions of the fuzzy logic systems optimally. Three conflicting objective functions in both time and frequency domains have been used in Pareto design of the fuzzy fractional-order PID controller. The obtained results reveal the supremacy of the proposed method in comparison with the fractional-order PID controllers.
  • Keywords
    control system synthesis; optimisation; three-term control; Pareto design; fuzzy fractional-order PID controller design; fuzzy logic systems; membership functions; multiobjective genetic algorithm; multiobjective optimization; rule base design; Calculus; Control systems; Linear programming; Optimization; Pragmatics; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608614
  • Filename
    6608614
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3169124