• DocumentCode
    2843231
  • Title

    Robust adaptive fuzzy sliding mode control of PM synchronous servo motor

  • Author

    Wang, Junfeng ; Wang, Chungang ; Feng, Bo ; Sun, Youxiao ; Liu, Jia

  • Author_Institution
    Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    3419
  • Lastpage
    3422
  • Abstract
    A fuzzy-logic-based robust adaptive fuzzy sliding-mode controller is designed for a class of uncertain nonlinear system of PM synchronous servo motor, which is composed of sliding-mode control and fuzzy adaptive control. The method proposed in this paper can approximate the uncertain items of system using fuzzy model, and parameter adaptive law of fuzzy model was constructed according to the principle of sliding-mode control. This method not only can eliminate high frequency chattering, but also has strong robustness to error of approximation and good tracking performance to reference input. The global boundedness of closed-loop system state and the stability and robustness of the whole system were proved using Lyapunov method.
  • Keywords
    Lyapunov methods; adaptive control; closed loop systems; fuzzy control; nonlinear systems; robust control; servomotors; synchronous motors; uncertain systems; variable structure systems; Lyapunov method; PM synchronous servo motor; closed loop system state; frequency chattering; fuzzy logic; fuzzy model; parameter adaptive law; robust adaptive fuzzy sliding mode control; stability; uncertain nonlinear system; Adaptive control; Fuzzy control; Fuzzy systems; Programmable control; Robust control; Robust stability; Servomechanisms; Servomotors; Sliding mode control; Synchronous motors; PM synchronous servo motor; adaptive fuzzy model; adaptive law; nonlinear system; sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498557
  • Filename
    5498557