• DocumentCode
    2693968
  • Title

    Multi-objective optimization approach to the PI tuning problem

  • Author

    Tavakoli, Saeed ; Griffin, Ian ; Fleming, Peter J.

  • Author_Institution
    Univ. of Sistan & Baluchestan, Teheran
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3165
  • Lastpage
    3171
  • Abstract
    This paper presents a simple PI control design approach for first order plus dead time processes. The design method aims to obtain good responses to setpoint and load disturbance signals, good robustness to model errors and small variation of the control signal, simultaneously. The design problem is formulated as a multi-objective optimization problem. Using multi-objective genetic algorithms, the optimization problem is solved and optimal PI tuning formulae are developed. Simulation results demonstrate the effectiveness of the proposed method in coping with conflicting design objectives.
  • Keywords
    PI control; control system synthesis; genetic algorithms; stability; PI control design; PI tuning problem; first order-plus-dead time process; load disturbance signals; model errors; multiobjective genetic algorithm; multiobjective optimization; robustness; Evolutionary computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424876
  • Filename
    4424876