• DocumentCode
    1453388
  • Title

    Design of optimal disturbance rejection PID controllers using genetic algorithms

  • Author

    Krohling, Renato A. ; Rey, Joost P.

  • Volume
    5
  • Issue
    1
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    This paper presents a method to design an optimal disturbance rejection PID controller. First, a condition for disturbance rejection of a control system-H-norm-is described. Second, the design is formulated as a constrained optimization problem. It consists of minimizing a performance index, i.e., the integral of the time weighted squared error subject to the disturbance rejection constraint. A new method employing two genetic algorithms (GA) is developed for solving the constraint optimization problem. The method is tested by a design example of a PID controller for a servomotor system. Simulation results are presented to demonstrate the performance and validity of the method
  • Keywords
    H control; control system synthesis; genetic algorithms; minimisation; optimal control; performance index; stability; three-term control; GA; H-norm; constrained optimization problem; genetic algorithms; optimal disturbance rejection PID controller design; performance index minimization; servomotor system; time weighted squared error; Constraint optimization; Control systems; Design methodology; Design optimization; Genetic algorithms; Optimal control; Performance analysis; Servomotors; System testing; Three-term control;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/4235.910467
  • Filename
    910467