• DocumentCode
    2862343
  • Title

    Application of a Modified PSO Algorithm in PID Controller Optimization

  • Author

    Shi-cheng, Jiang ; Wen-bo, Xu

  • Author_Institution
    IoT Eng., Jiangnan Univ., Wuxi, China
  • fYear
    2011
  • fDate
    14-17 Oct. 2011
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    A modified PSO for Optimum Design of PID Controller is stated. Particle Swarm Optimization is a new random global optimization algorithm. The algorithm feature is simple, ease to implement and powerful function. But it is easy to trap in the local pole, and search accuracy is low. PID controller principle is concise, physical meaning of its parameters are clear, and theoretical analysis system is integrity and the industrial sector are familiar with it, so in the industrial process control is still widely used. In this paper, the modified PSO algorithm has been used in PID controller to optimize parameters and compared with basic PSO algorithm. Emulation experiments demonstrated that the modified PSO algorithm increase the probability convergence to the global optimal solution.
  • Keywords
    control system synthesis; particle swarm optimisation; three-term control; PID controller optimization; global optimization algorithm; industrial process control; industrial sector; modified PSO algorithm applciation; optimum design; particle swarm optimization; powerful function; Algorithm design and analysis; Convergence; Equations; Heuristic algorithms; Optimization; Particle swarm optimization; Vectors; PID control; Particle Swarm Optimization; parameter optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
  • Conference_Location
    Wuxi
  • Print_ISBN
    978-1-4577-0327-0
  • Type

    conf

  • DOI
    10.1109/DCABES.2011.25
  • Filename
    6118713