• DocumentCode
    3113735
  • Title

    Self-tuning of PID Parameters Based on the Modified Particle Swarm Optimization

  • Author

    Xue, Yuncan ; Zhao, Haibin ; Yang, Qiwen

  • Author_Institution
    Coll. of Comput. & Info. Eng., Hohai Univ., Changzhou
  • fYear
    2006
  • fDate
    16-18 Aug. 2006
  • Firstpage
    870
  • Lastpage
    873
  • Abstract
    To overcome premature of standard particle swarm optimization (SPSO) algorithm, a modified particle swarm optimization (MPSO) based on partial particle moving direction changing was proposed. It holds on the proprieties of simple structure, fast convergence, and at the same time, enhances the variety of the populations, extends the search space, and does not increase the computation complexity. Based on this, it is applied to self-tuning of PID parameters and the results are satisfactory. Simulation results show that the algorithms are effective and the designed controller has excellent performance.
  • Keywords
    control system synthesis; particle swarm optimisation; self-adjusting systems; three-term control; PID parameters self-tuning; controller design; modified particle swarm optimization; partial particle moving direction changing; Birds; Convergence; Educational institutions; Equations; Genetic algorithms; Intelligent control; Neural networks; Particle swarm optimization; Space technology; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2006 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9700-2
  • Electronic_ISBN
    0-7803-9701-0
  • Type

    conf

  • DOI
    10.1109/INDIN.2006.275691
  • Filename
    4053503