• DocumentCode
    2371345
  • Title

    Fuzzy based adaptive dynamic surface control for a class of nonlinear systems with unknown dead zone

  • Author

    Aung, Oakka ; Lin, Yan ; Zhao, Qichao

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    687
  • Lastpage
    692
  • Abstract
    This paper provides an adaptive dynamic surface control for a class of nonlinear systems with unknown dead zone using fuzzy logic system. The dead zone precompensator is constructed to deal with non-symmetrical dead zone parameters and to compensate the effect of the dead zone. The dynamic surface control (DSC) method overcomes the problem of “explosion of complexity” in the traditional backstepping design. Fuzzy logic system (FLS) is used to approximate the nonlinear uncertainty. Adaptation law adjusts these fuzzy parameters online to minimize the approximation error. This new scheme not only eliminates the problem of explosion of complexity in backstepping scheme, but also guarantees the semi-global uniform boundedness of the solution of the closed-loop system, and makes the tracking error converge to a small residual set. Simulation results illustrate that the new scheme is effective.
  • Keywords
    adaptive control; closed loop systems; fuzzy control; fuzzy logic; fuzzy systems; nonlinear control systems; DSC method; FLS; approximation error; backstepping design; backstepping scheme; closed-loop system; dead zone precompensator; dynamic surface control method; explosion of complexity; fuzzy based adaptive dynamic surface control; fuzzy logic system; fuzzy parameters; nonlinear systems; nonlinear uncertainty; nonsymmetrical dead zone parameters; semiglobal uniform boundedness; tracking error; unknown dead zone; Adaptive control; Approximation methods; Backstepping; Fuzzy logic; Nonlinear systems; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5589103
  • Filename
    5589103