• DocumentCode
    3117960
  • Title

    A hybrid fuzzy sliding-mode control for a class of generalized, under-actuated and uncertain nonlinear dynamic systems

  • Author

    Hwang, Chih-Lyang ; Wu, Hsiu-Ming

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    1333
  • Lastpage
    1338
  • Abstract
    Due to the under-actuated feature, the reference signals using the combination of the system outputs, whose number is larger than that of reference signal, are designed so that the number of control inputs and sliding surfaces is the same, and that the uncontrollable mode is indirectly controlled. Under the uncertain environment, the sliding-mode under-actuated control (SMUC) with the satisfaction of suitable condition is designed to asymptotically track the reference signal. Otherwise, a bounded tracking result is obtained for the mild condition. In this situation, an on-line fuzzy modeling for the uncertainty is employed to design a fuzzy model-based sliding-mode under-actuated control (FSMUC) to improve the system performance; e.g., the bounded tracking result of SMUC becomes an asymptotical tracking. The proposed hybrid fuzzy sliding-mode under-actuated control (HFSMUC) combining SMUC and FSMUC with a transition can be applied to a class of generalized, under-actuated and uncertain nonlinear systems, e.g., the trajectory tracking control of a differential mobile robot (DMR). Finally, the simulations of the HFSMUC system are presented to confirm the efficiency and effectiveness of the proposed control.
  • Keywords
    control system synthesis; fuzzy control; nonlinear dynamical systems; signal processing; tracking; uncertain systems; variable structure systems; asymptotical tracking; differential mobile robot; fuzzy model-based sliding-mode under-actuated control design; generalized nonlinear dynamic systems; hybrid fuzzy sliding-mode control; online fuzzy modeling; reference signals; system performance improvement; trajectory tracking control; uncertain nonlinear dynamic systems; under-actuated nonlinear dynamic systems; Nonlinear dynamical systems; Sliding mode control; System performance; Trajectory; Uncertainty; Vehicle dynamics; Fuzzy model-based adaptive control; Lyapunov stability theory; Sliding-mode control; Under-actuated control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007389
  • Filename
    6007389