• DocumentCode
    2295216
  • Title

    The optimization of PI controller parameters using genetic algorithm in the DC speed control system

  • Author

    Wang, Jing ; Zhao, Yuanyuan

  • Author_Institution
    Inf. Eng. Sch., Beijing Univ. of Sci. & Technol., China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    545
  • Abstract
    Given the change of characteristic parameters of the control object, deterioration will result in the dynamic response qualities of the main drive system of a hot finishing mill. This paper studies the optimization of PI parameters, which is adjusted by the improved iterative genetic algorithm, of the speed controller in a two-loop DC speed control system. The digital simulation results show the efficiency and rationality of the algorithm
  • Keywords
    DC motor drives; angular velocity control; dynamic response; genetic algorithms; hot rolling; iterative methods; optimal control; process control; two-term control; DC motor drive; PI controller; dynamic response; genetic algorithm; hot finishing mill; iterative method; optimization; process control; speed control; Control systems; Digital simulation; Finishing; Genetic algorithms; Genetic engineering; Genetic mutations; Milling machines; Optimization methods; Sampling methods; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.860028
  • Filename
    860028