• DocumentCode
    3216648
  • Title

    A simplified Genetic Algorithm for online tuning of PID controller in LabView

  • Author

    Nazir, A.J.A. ; Gautham ; Surajan, Remya ; Binu, L.S.

  • Author_Institution
    Dept. of Electron. & Commun., Coll. of Eng., Trivandrum, Trivandrum, India
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1516
  • Lastpage
    1519
  • Abstract
    This paper presents a simplified genetic algorithm approach for the tuning of PID controllers. A new approach which greatly reduces the computational requirement for implementing the various steps in genetic algorithm (crossover and mutation) is presented. The algorithm was used for the online tuning of the controller in a temperature regulating system. The results show that the approach was successful in improving parameters such as rise time and ISE.
  • Keywords
    control engineering computing; genetic algorithms; temperature control; three-term control; virtual instrumentation; LabView; PID controller; online tuning; simplified genetic algorithm; temperature regulating system; Communication system control; Control systems; Genetic algorithms; Optimization methods; Temperature control; Temperature sensors; Three-term control; Transient response; Tuning; Water heating; LabView; Online tuning; PIDcontroller; System identification; Temperature control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5053-4
  • Type

    conf

  • DOI
    10.1109/NABIC.2009.5393665
  • Filename
    5393665