• DocumentCode
    2073328
  • Title

    Tuning of digital PID controller using particle swarm optimization

  • Author

    Dashti, Mohammad ; Shojaee, Kambiz ; Seyedkashi, S.M.H. ; Behnam, Mojtaba

  • Author_Institution
    Dept. of Electr. Eng., Sadjad Inst. of Higher Educ., Mashhad, Iran
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3383
  • Lastpage
    3389
  • Abstract
    PID controllers are one of the most applicable controllers in different industries. The main important need in application of these controllers is their parameters tuning in order to gain desired result. Existing tuning rules for their design are usually based on trial and error which are so time consuming, not accurate and have considerable error. In this paper, an accessible method with high accuracy and speed has been presented for determination of these control parameters, using PSO optimization algorithm and performance assessment criteria. The results show that there is a considerable difference between this method´s results and the other method´s.
  • Keywords
    control system synthesis; controllers; particle swarm optimisation; three-term control; tuning; digital PID controller; parameter tuning; particle swarm optimization; performance assessment criteria; Algorithm design and analysis; Equations; Mathematical model; Optimization; Particle swarm optimization; Process control; Tuning; Assessment Criteria; PID Controller; PSO Algorithm; Tuning Rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572133