• DocumentCode
    1763069
  • Title

    Nonlinear Adaptive Lumped Parameter Magnetic Circuit Analysis for Spoke-Type Fault-Tolerant Permanent-Magnet Motors

  • Author

    Qian Chen ; Guohai Liu ; Wenxiang Zhao ; Mingming Shao

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    49
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    5150
  • Lastpage
    5157
  • Abstract
    This paper proposes a nonlinear adaptive lumped parameter magnetic circuit (LPMC) model for a new spoke-type fault-tolerant permanent-magnet (ST-FTPM) brushless motor. The LPMC method, which reduces the total computational time greatly, can be used as a finite-element method (FEM) assistant design tool. Hence, it is used to calculate the flux linkage, back-electromotive force (back-EMF), inductance, and torque performance of the ST-FTPM motor. The novelty of this paper is to predict short-circuit current based on the developed LPMC model. Meanwhile, in order to ensure the analytical accuracy, the magnetic saturation is considered in the model design. The effectiveness of the presented LPMC model is verified by FEM and the experiments.
  • Keywords
    electric potential; fault tolerance; finite element analysis; inductance; magnetic circuits; permanent magnet motors; short-circuit currents; torque; FEM assistant design tool; LPMC method; ST-FTPM brushless motor; back-EMF; back-electromotive force; finite-element method; flux linkage; inductance; magnetic saturation; nonlinear adaptive lumped parameter magnetic circuit analysis; nonlinear adaptive lumped parameter magnetic circuit model; short-circuit current prediction; spoke-type fault-tolerant permanent-magnet motor; torque performance; Atmospheric modeling; Integrated circuit modeling; Magnetic circuits; Reluctance motors; Rotors; Stator windings; Fault-tolerant permanent-magnet (FTPM) motor; finite-element method (FEM); lumped parameter magnetic circuit (LPMC); short-circuit current;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2013.2253327
  • Filename
    6482247