• DocumentCode
    2912251
  • Title

    Application of Eitelberg´s method for PI controllers via particle swarm optimization

  • Author

    Puangdownreong, Deacha ; Suwannarongsri, Supaporn

  • Author_Institution
    Dept. of Electr. Eng., South-East Asia Univ., Bangkok
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    In 1987, Eitelberg introduced a useful method by adjusting the input weighting factors to recover system response when a direct tuning of the PI(D)´s parameters was prohibited from adjustment. Because of minimum interruption to an original control system, the Eitelberg´s method has been extended to various applications. From previous applications, it was found that the P-element input weighting factor distinctly effects on the system responses. In this paper, the input weighting factor optimization for P-element of PI controllers via the particle swarm optimization (PSO) method is presented. The proposed optimization method is tested against two benchmark-controlled systems. As the simulation results, it was found that the P-element input weighting factor can be appropriated optimized by the PSO-based method and the satisfactory responses can be recovered when the parameter variation occurred.
  • Keywords
    PI control; control system analysis; particle swarm optimisation; PI controllers; benchmark-controlled systems; input weighting factors; optimization method; particle swarm optimization; system response; Artificial intelligence; Asia; Automatic control; Control systems; Electrical equipment industry; Industrial control; Optimization methods; Particle swarm optimization; Pi control; Robotics and automation; PI controller; input weighting factor; particle swarm optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795580
  • Filename
    4795580