• DocumentCode
    3294046
  • Title

    Identification of a hybrid maglev system with electromagnets and permanent magnets

  • Author

    Zhang, Xiao ; Cheng, Hu ; Li, Yungang

  • Author_Institution
    Res. Center of Maglev, Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    454
  • Lastpage
    457
  • Abstract
    The mathematical model of a maglev system with a single hybrid magnet is identified from the experimental data in this paper. Firstly, the model structure of the hybrid maglev system is chosen based on Newton-Second Law and Kirchoff Equation. To simplify the identification procedure, current-loop control algorithm is introduced and the proposed model structure is decomposed into two parts, which are separately the nonlinear kinetics and the linear Electrics. Secondly, the information of the practical hybrid system is acquired by a closed-loop identification experiment, and the controller design to stabilize the system and the reference signal design to persistently excite the system are both addressed in detail. Then the proposed model structure is written as two ARX equations after introducing new states, and the parameters are identified by Least-Square-Method. Finally, the applicability of the identified model is evaluated by another set of experimental data, which illustrates that the obtained model is sufficiently accurate for the purpose of controller design.
  • Keywords
    closed loop systems; control system synthesis; electric current control; electromagnets; least mean squares methods; magnetic levitation; permanent magnets; stability; ARX equations; Kirchoff equation; Newton-second law; closed-loop identification; controller design; current-loop control algorithm; electromagnets; hybrid maglev system; least-square-method; linear electrics; mathematical model; permanent magnets; reference signal design; system stability; Electromagnets; Magnetic levitation; Magnetic separation; Mathematical model; Medical services; Permanent magnets; Suspensions; hybrid magnet; least-square-method; maglev system; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778359
  • Filename
    5778359