• DocumentCode
    3348841
  • Title

    Hybrid adaptive CMAC sliding mode controller design for unknown nonlinear system

  • Author

    Hung-Ching Lu ; His-Kuang Liu ; Tzu-Yu Tseng

  • Author_Institution
    Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1725
  • Lastpage
    1729
  • Abstract
    A new hybrid adaptive cerebeller model articulation controller (CMAC) sliding mode control system is developed for unknown nonlinear systems. The hybrid adaptive CMAC sliding mode controller (HACSMC) uses the direct and indirect adaptive CMAC controllers to perform the equivalent control of sliding mode control (SMC) and a weighting factor is adopted to sum together the control efforts from the direct and indirect adaptive CMAC controller. The CMAC network is used to approximate the switching control law of SMC. A supervisory controller is appended to the HACSMC to guarantee the states staying in the boundary layer. All adaptive laws of the control system are derived based on Lyapunov stability theorem, so that the stability of the system can be guaranteed. Finally, the proposed control system is applied to inverted pendulum system. The simulation results show that the HACSMC can not only make control system have good tracking performance and strong robustness but also have more flexibility during the design process.
  • Keywords
    Lyapunov methods; adaptive control; cerebellar model arithmetic computers; control system synthesis; nonlinear control systems; pendulums; variable structure systems; Lyapunov stability theorem; cerebeller model articulation controller; hybrid adaptive CMAC sliding mode controller design; inverted pendulum system; nonlinear system; supervisory control; switching control law; weighting factor; Adaptive control; Fuzzy control; Neural networks; Nonlinear systems; Switches; cerebeller model articulation controller (CMAC); hybrid adaptive CMAC sliding mode controller (HACSMC); sliding mode control (SMC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022501
  • Filename
    6022501