• DocumentCode
    2344501
  • Title

    Control of Magnetic Levitation System Using Fuzzy Logic Control

  • Author

    Ahmad, A.K. ; Saad, Z. ; Osman, M.K. ; Isa, I.S. ; Sadimin, S. ; Abdullah, S.S.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM) Malaysia, Permatang Pauh, Malaysia
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    51
  • Lastpage
    56
  • Abstract
    This paper presents the investigation on a system model for the stabilisation of a Magnetic Levitation System (Maglev´s). Furthermore, the investigation on Proportional Integrated Derivative Controller (PID) also reported here. In this paper shows to design both PID and Fuzzy Logic Control (FLC) based on the system model. Maglev´s give the contribution in industry and this system has reduce the power consumption, has increase the power efficiency and reduce the cost maintenance. The common applications for Maglev´s are Maglev´s Power Generation, Maglev´s trains and Maglev´s ball bearing less system. In this study, it has also been observed that the basic design of Maglev´s is an arrangement of electromagnets placed on top of the plant and makes the ball levitated in the air. The focus of this study is that to design the controller that can cope with Maglev´s which highly nonlinear and inherently unstable. The modeling system is simulated using MATLAB simulink. This paper presents the comparison output for both PID Controller and Fuzzy controller to control the ball levitate on the air. The ISE performance index is shown to compare the performance both controller.
  • Keywords
    control system synthesis; fuzzy control; magnetic levitation; performance index; position control; stability; three-term control; ISE performance index; MATLAB simulink; PID; fuzzy logic control; magnetic levitation system control; proportional integrated derivative controller; stabilisation; Fuzzy Logic Control; Magnetic Levitation System (Maglev´s); PID 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.2010.99
  • Filename
    5701821