• DocumentCode
    2098275
  • Title

    An automatic identification of phase inductance for operation of switched reluctance machines without position sensor

  • Author

    Van Treek, Daniel ; Matuschek, Philipp ; Brauer, Helge J. ; Schoenen, Timo ; De Doncker, Rik W.

  • Author_Institution
    Inst. of Power Electron. & Electr. Drives, RWTH Aachen Univ., Aachen
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    1005
  • Lastpage
    1009
  • Abstract
    This paper describes a method to operate a switched reluctance machine (SRM) sensorless with a precise position estimation but without the necessity of a prior known machine characteristic. When a machine is connected to the inverter for the first time, an initialization sequence is started to determine the inductance profile of the machine automatically. Within this sequence the machine is started and the inductance of all phases is recorded over time while the machine is rotating. From the data the rotor position is extracted and linked to the recorded inductance values. The data is finally merged to one inductance profile, which is used for controlling the machine. Only information about the machine configuration, the maximum allowable machine speed and phase currents must be provided. The proposed method was implemented on a test bench and verified with a 2 kW four-phase SRM using direct average torque control (DATC).
  • Keywords
    invertors; machine control; reluctance machines; torque control; direct average torque control; inverter; machine control; phase inductance; position estimation; power 2 kW; switched reluctance machine; Anisotropic magnetoresistance; Couplings; Data mining; Inductance measurement; Phase measurement; Production; Reluctance machines; Sensor phenomena and characterization; Testing; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference, 2009. IEMDC '09. IEEE International
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-4251-5
  • Electronic_ISBN
    978-1-4244-4252-2
  • Type

    conf

  • DOI
    10.1109/IEMDC.2009.5075327
  • Filename
    5075327