• DocumentCode
    2378679
  • Title

    Eliminating starting hesitation for reliable sensorless control of switched reluctance motors

  • Author

    Bu, Jianrong ; Xu, Longya

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    12-15 Oct. 1998
  • Firstpage
    693
  • Abstract
    Novel methods for rotor position estimation both at standstill and during running conditions are presented for switched reluctance machine starting free of position sensor and hesitation. By applying a DC pulse to the stator phase windings for a short moment (0.5 ms), the initial rotor position can be accurately detected. Combining the accurate initial rotor position with a novel rotor position estimation algorithm during running, the switched reluctance machine can be started at any initial rotor position without starting hesitation. Critical issues related to optimal model selection as the virtual sensor are discussed in detail. Computer simulation and experimental results are included.
  • Keywords
    control system analysis computing; control system synthesis; electric machine analysis computing; machine vector control; parameter estimation; position control; reluctance motors; rotors; starting; stators; DC pulse application; SRM; computer simulation; control design; control simulation; initial rotor position detection; optimal model selection; rotor position estimation algorithm; sensorless control; starting hesitation elimination; stator phase windings; switched reluctance motor starting; virtual sensor; Computer simulation; Position measurement; Reluctance machines; Reluctance motors; Rotors; Senior members; Sensorless control; Stators; Student members; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1998. Thirty-Third IAS Annual Meeting. The 1998 IEEE
  • Conference_Location
    St. Louis, MO, USA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-4943-1
  • Type

    conf

  • DOI
    10.1109/IAS.1998.732403
  • Filename
    732403