• DocumentCode
    1769121
  • Title

    Research on fault of suspension system in permanent magnetic and electromagnetic hybrid high speed maglev train

  • Author

    Aming Hao ; Qingzhen Wang ; Xiaolong Li ; Zhiqiang Long

  • Author_Institution
    Coll. of Mechaeronics Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    173
  • Lastpage
    177
  • Abstract
    This paper studies the suspension control problem of permanent magnetic and electromagnetic hybrid high-speed maglev train under different fault condition. The suspension system model with joint structure is established. The linear quadratic optimal control theory is applied to implement the control algorithm design. The simulation analyzes multiple possible failure conditions of the joint joint structure in the practical work. At the same time, the paper considers the power interference and the disturbance existing in the actual operation, gets the constraint conditions of normal work of the joint structure under different conditions when it has fault, which provides a basis for the safety strategy in the fault handling of the suspension system.
  • Keywords
    electromagnetic devices; failure analysis; fault diagnosis; linear quadratic control; magnetic levitation; permanent magnets; railways; reliability; suspensions (mechanical components); constraint condition; control algorithm design; electromagnetic hybrid high speed maglev train; failure condition; fault condition; fault handling; joint joint structure; linear quadratic optimal control theory; permanent magnetic hybrid high speed maglev train; power interference; safety strategy; suspension control problem; suspension system fault; suspension system model; Choppers (circuits); Electromagnetics; Force; Interference; Joints; Magnetic levitation; Suspensions; Joint structure; Permanent magnetic and electromagnetic suspension; Suspension performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988157
  • Filename
    6988157