• DocumentCode
    2942352
  • Title

    Simple practical methodology of designing novel MRAC controllers for nonlinear plants

  • Author

    Tar, Jozsef K. ; Rudas, Imre J. ; Varkonyi, Terez A.

  • Author_Institution
    Commun. Inf. & Telematics Knowledge Centre, Obuda Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    11-14 July 2012
  • Firstpage
    928
  • Lastpage
    933
  • Abstract
    Besides realization of precise trajectory tracking a Model Reference Adaptive Controller (MRAC) has also provide the “external controller” with an illusion that instead of the actual system under control it deals with a “reference system” of quite different dynamic properties. The traditional MRAC approaches normally apply either analytical or universal approxi-mators based models and Lyapunov´s 2nd method that can guarantee global (sometimes asymptotic) stability but leaves the question of kinematic and dynamic limitations open. Such details can be clarified by ample numerical computations used either for satisfying the conditions of stability itself or for optimizing the free parameters of the controllers by some Genetic Algorithm or other evolutionary methods. A recently introduced novel family of MRAC controllers the design of which drops Lyapunov´s technique and directly concentrates on the kinematic and dynamic details is based on Robust Fixed Point Transformation (RFPT). It has only three adaptive parameters that can easily be set via only a few simulations. In this paper this simple and practical methodology is exemplified in the design of a new MRAC control for a strongly coupled two mass points - two nonlinear springs system in fully actuated and un-deractuated versions, too.
  • Keywords
    Lyapunov methods; approximation theory; asymptotic stability; control system synthesis; genetic algorithms; model reference adaptive control systems; nonlinear control systems; Lyapunov 2nd method; MRAC controller design; RFPT; analytical approximators based models; asymptotic stability; dynamic limitations; evolutionary methods; external controller; genetic algorithm; global stability; kinematic limitations; mass points; model reference adaptive controller; nonlinear plants; nonlinear springs system; numerical computations; reference system; robust fixed point transformation; simple practical methodology; trajectory tracking; universal approximators based models; Adaptation models; Force; Kinematics; Mathematical model; Solids; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
  • Conference_Location
    Kachsiung
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-2575-2
  • Type

    conf

  • DOI
    10.1109/AIM.2012.6265892
  • Filename
    6265892