• DocumentCode
    848631
  • Title

    Intelligent Sliding-Mode Control Using RBFN for Magnetic Levitation System

  • Author

    Lin, Faa-Jeng ; Teng, Li-Tao ; Shieh, Po-Huang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien
  • Volume
    54
  • Issue
    3
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1752
  • Lastpage
    1762
  • Abstract
    An intelligent sliding-mode control system using a radial basis function network (SMCRBFN) is proposed to control the position of a levitated object of a magnetic levitation system to compensate the uncertainties including the friction force in this study. First, the dynamic model of the magnetic levitation system is derived. Then, a sliding-mode approach is proposed to compensate the uncertainties that occurred in the magnetic levitation system. Moreover, to relax the requirement of uncertainty bound in the design of a traditional sliding-mode control system and further increase the robustness of the magnetic levitation system, a radial basis function network estimator is proposed to estimate the uncertainties of the system dynamics online. The effectiveness of the proposed control scheme is verified by some experimental results. With the proposed SMCRBFN system, the position of the levitated object of the magnetic levitation system possesses the advantages of good transient control performance and robustness to uncertainties for tracking periodic trajectories
  • Keywords
    intelligent control; magnetic levitation; position control; power engineering computing; radial basis function networks; variable structure systems; SMCRBFN; dynamic model; intelligent sliding-mode control; magnetic levitation system; position control; radial basis function network; transient control performance; Control systems; Force control; Intelligent control; Intelligent networks; Intelligent systems; Magnetic levitation; Radial basis function networks; Robust control; Sliding mode control; Uncertainty; Magnetic levitation; radial basis function network (RBFN); sliding-mode control (SMC);
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2007.894710
  • Filename
    4200882