• DocumentCode
    594226
  • Title

    Combined fuzzy logic and sliding mode approach´s for modelling and control of the two link robot

  • Author

    Mellouli, E.M. ; Sefriti, S. ; Boumhidi, Ismail

  • Author_Institution
    Dept. of Phys., Sidi Mohamed Ben Abdellah Univ., Fez, Morocco
  • fYear
    2012
  • fDate
    5-6 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present a combined fuzzy logic and sliding mode to design a robust controller for the two links robot without chattering problems. This combination can reduce chattering, because the upper bound of uncertainties becomes smaller when fuzzy logic are used to model unknown nonlinear systems. The proposed strategy uses the adaptive fuzzy system Takagi-Sugeno (T-S) to approximate the dynamics of the MIMO system. The small gain auxiliary sliding mode control term is incorporated in the control law to attenuate the external disturbances and remove fuzzy approximation modeling error. The simulation results show the effectiveness of the proposed method.
  • Keywords
    MIMO systems; adaptive control; control system synthesis; fuzzy control; gain control; robots; robust control; variable structure systems; MIMO system; T-S system; Takagi-Sugeno system; adaptive fuzzy system; external disturbances; fuzzy approximation modeling error removal; fuzzy logic approach; nonlinear systems; robust controller design; small gain auxiliary sliding mode control term; two link robot; Adaptation models; Approximation methods; Fuzzy logic; Fuzzy systems; Nonlinear dynamical systems; Robots; Fuzzy logic; MIMO Nonlinear systems; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Systems (ICCS), 2012 International Conference on
  • Conference_Location
    Agadir
  • Print_ISBN
    978-1-4673-4764-8
  • Type

    conf

  • DOI
    10.1109/ICoCS.2012.6458599
  • Filename
    6458599