• DocumentCode
    3060817
  • Title

    Sliding mode control synthesis using fuzzy logic

  • Author

    Ghalia, M.B. ; Alouani, Ali T.

  • Author_Institution
    Center for Manuf. Res. & Technol. Utilization, Tennessee Technol. Univ., Cookeville, TN, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    1528
  • Abstract
    In variable structure control algorithms, sliding mode plays a crucial role in making the closed loop system insensitive to modeling uncertainties and external disturbances, and also in transforming the original system dynamics into prescribed reduced order dynamics restricted to a switching manifold on which desired system dynamic behavior is achieved. The control law used to realize the desired sliding mode dynamics is discontinuous on the switching manifold. However, due to imperfections in switching, such as time delays, the system trajectory chatters instead of sliding along the switching manifold. This chattering is undesirable because it may excite unmodeled high-frequency dynamics in the physical system. To overcome this drawback, in this paper, a new sliding mode control algorithm using concepts from fuzzy theory and fuzzy logic is developed. The eccentricity of the new sliding mode control algorithm resides in generalized form of switching manifold which allows for a smooth transition between the reaching mode and the sliding mode. To demonstrate its performance, the proposed control algorithm is applied to a one-degree of freedom robot arm
  • Keywords
    closed loop systems; control system synthesis; delays; fuzzy control; reduced order systems; uncertain systems; variable structure systems; chattering; closed-loop system; external disturbance insensitivity; fuzzy logic; modeling uncertainty insensitivity; sliding mode control synthesis; sliding mode dynamics; switching imperfections; time delays; unmodeled high-frequency dynamics excitation; variable structure control algorithms; Actuators; Control systems; Delay effects; Electric variables control; Feedback control; Fuzzy logic; Nonlinear control systems; Sliding mode control; Uncertainty; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.521007
  • Filename
    521007