• DocumentCode
    2484005
  • Title

    Research of synthesis tuning algorithm of Active-Disturbance-Rejection Controller

  • Author

    Ma, Qiang ; Xu, Daping ; Shi, Yuntao

  • Author_Institution
    Sch. of Control Sci.&Eng., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2788
  • Lastpage
    2793
  • Abstract
    Nonlinear active disturbance rejection controller (ADRC) tuning problem is investigated based on synthesis optimization method which including intelligent optimization method-NSGA_II and The typical nonlinear least square method-Levenberg-Marqudart algorithm. Based on multi-objective optimizing algorithm-NSGA_II the parameters of extended state observer is tuned. Nonlinear least square method is adopted to obtain the optimal parameter of Nonlinear PD controller parameters of active disturbance rejection controller. The results of simulation indicate the synthesis optimal tuning method of ADRC is effective.
  • Keywords
    PD control; control system synthesis; genetic algorithms; least squares approximations; nonlinear control systems; observers; tuning; active-disturbance-rejection controller; extended state observer; intelligent optimization method-NSGA_II; multiobjective optimizing algorithm-NSGA_II; nonlinear PD controller parameters; nonlinear active disturbance rejection controller tuning problem; nonlinear least square method-Levenberg-Marqudart algorithm; synthesis optimal tuning method; synthesis optimization method; synthesis tuning algorithm; Automatic control; Automation; Design optimization; Intelligent control; Least squares methods; Optimal control; Optimization methods; PD control; Power engineering and energy; Systems engineering and theory; ADRC; Levenberg-Marqudart algorithm; NSGAII; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593367
  • Filename
    4593367