• DocumentCode
    721971
  • Title

    Modeling of a switched reluctance motor under stator winding fault condition

  • Author

    Chen, H. ; Yan, W. ; Wang, Q. ; Lu, S. ; Chen, Z.

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    This paper presents a method for modeling inter-turn winding faults in SRM based on artificial neural network (ANN), incorporating a simplified and effective magnetic equivalent circuit method to estimate phase flux-linkages as a function of current and rotor position under inter-turn winding faults.
  • Keywords
    electric machine analysis computing; equivalent circuits; neural nets; reluctance motors; rotors; stators; artificial neural network; effective magnetic equivalent circuit method; interturn winding faults; phase flux-linkages; rotor position; simplified magnetic equivalent circuit method; stator winding fault condition; switched reluctance motor modeling; Analytical models; Circuit faults; Magnetic circuits; Magnetic flux; Stator windings; Switched reluctance motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Magnetics Conference (INTERMAG), 2015 IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7321-7
  • Type

    conf

  • DOI
    10.1109/INTMAG.2015.7157245
  • Filename
    7157245
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=721971