• DocumentCode
    760200
  • Title

    Mechanical Sensorless Drives of IPMSM With Online Parameter Identification

  • Author

    Morimoto, Shigeo ; Sanada, Masayuki ; Takeda, Yoji

  • Author_Institution
    Dept. of Electr. & Inf. Syst., Osaka Prefectural Univ., Sakai
  • Volume
    42
  • Issue
    5
  • fYear
    2006
  • Firstpage
    1241
  • Lastpage
    1248
  • Abstract
    A mechanical sensorless drive system for an interior permanent-magnet synchronous motor, for which parameters including the inverter are identified, is proposed in this paper. The rotor position is estimated by a signal-injection sensorless scheme at standstill. The resistance, including the on-resistance of the insulated-gate bipolar transistor, the voltage error caused by the dead time of the inverter, and the d-axis and q-axis inductances are identified at standstill using the estimated position. After the motor starts by the signal-injection sensorless control, the sensorless scheme changes to a scheme based on the extended electromotive force estimation, which uses the identified parameters. The magnet flux linkage is also identified under the sensorless operation. The effectiveness of the proposed method is verified by several experimental results
  • Keywords
    electric machine analysis computing; insulated gate bipolar transistors; invertors; parameter estimation; permanent magnet motors; rotors; synchronous motor drives; electromotive force estimation; insulated gate bipolar transistor; interior permanent magnet synchronous motor; inverters; magnet flux linkage; mechanical sensorless drives; online parameter identification; position estimation; rotor position; signal injection sensorless control; signal injection sensorless scheme; Force sensors; Insulated gate bipolar transistors; Insulation; Inverters; Parameter estimation; Rotors; Sensorless control; Signal processing; Synchronous motors; Voltage; Dead-time compensation; interior permanent-magnet synchronous motor (IPMSM); online parameter identification; sensorless control;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2006.880840
  • Filename
    1703717