• DocumentCode
    3153107
  • Title

    Global Sliding Mode Control with Adaptive Fuzzy Chattering Free Method for Nonlinear System

  • Author

    Liu, J.K. ; Sun, F.C.

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.
  • Volume
    1
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    541
  • Lastpage
    546
  • Abstract
    A novel fuzzy global sliding mode control (FGSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By designing global sliding mode surface, the proposed scheme eliminates reaching phase problem so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach
  • Keywords
    adaptive systems; closed loop systems; fuzzy logic; fuzzy systems; linearisation techniques; nonlinear systems; robust control; variable structure systems; adaptive fuzzy chattering free method; approximation error reduction; chattering phenomenon elimination; closed-loop system; control stability; fuzzy global sliding mode control; fuzzy logic system; global sliding mode surface; input-output linearization; inverted pendulum system; nonlinear function; nonlinear system; nonlinear uncertain system; nonlinearities; position tracking; robust adaptive law; Adaptive control; Fuzzy control; Fuzzy logic; Fuzzy systems; Linearization techniques; Nonlinear systems; Programmable control; Sliding mode control; Switches; Uncertain systems; adaptive fuzzy control; global sliding mode control; nonlinear system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Engineering in Systems Applications, IMACS Multiconference on
  • Conference_Location
    Beijing
  • Print_ISBN
    7-302-13922-9
  • Electronic_ISBN
    7-900718-14-1
  • Type

    conf

  • DOI
    10.1109/CESA.2006.4281712
  • Filename
    4281712