• DocumentCode
    3686129
  • Title

    Control of a magnetic levitation system via output feedback based two DOF control with an adaptive predictive feedforward input

  • Author

    Ikuro Mizumoto;Seiya Fujii;Masataka Ikejiri

  • Author_Institution
    Department of Intelligent Mechanical Systems, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan
  • fYear
    2015
  • Firstpage
    71
  • Lastpage
    76
  • Abstract
    This paper deals with control system design problem of a magnetic levitation system and a two degree of freedom output feedback control based on augmented system´s ASPRness with a parallel feedforward compensator (PFC) is considered in order to control the magnetic levitation system. It is well known that one can design a stable output feedback control system with a high gain feedback if the considered controlled system satisfies almost strictly positive real (ASPR) conditions. However, in most cases, one has to design an ASPR augmented system with a PFC. It will be shown that by introducing an adaptive predictive control as a feedforward input, one can attain a better control performance for actual output in the augmented control system with the PFC. The application of the method to practical control of magnetic levitation system shows the usefulness of the proposed method to a fast moving mechanical system.
  • Keywords
    "Magnetic levitation","Feedforward neural networks","Output feedback","Predictive control","Adaptive systems","Adaptation models"
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/CCA.2015.7320612
  • Filename
    7320612