• DocumentCode
    2344358
  • Title

    Real Time Application of an AMB Using MLP: Study of Robustness

  • Author

    Achkar, Roger ; Nasr, Chaiban

  • Author_Institution
    Comput. & Commun. Eng. Dept., American Univ. of Sci. & Technol., Beirut, Lebanon
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    The active magnetic bearing AMB presents a solution for all technical problems since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show that the control of the AMB by Multilayer perceptrons MLP involves an improvement of the response compared to the control of the AMB by classical controllers. The study of robustness and the application of external disturbances, for a system controlled with MLP, were done in order to highlight the advantage of controlling this non linear system by neural networks. The study of the internal disturbance (the balourd) created while rotation is also applied in order to reduce the effect of this unbalance.
  • Keywords
    magnetic bearings; magnetic levitation; multilayer perceptrons; neurocontrollers; nonlinear control systems; AMB; MLP; active magnetic bearing; magnetic levitation; mechanical contact; multilayer perceptrons; neural networks; nonlinear control system; rotor; stator; Non linear dynamics; adaptive control dynamics; adaptive learning network; artificial neural network applications; back propagation algorithm learning; dynamic neural network control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.14
  • Filename
    5701814