• DocumentCode
    3511844
  • Title

    DSP-based sensorless position estimation in switched reluctance drives

  • Author

    Al-Bahadly, Ibrahim H.

  • Author_Institution
    Inst. of Inf. Sci. & Technol., Massey Univ., Palmerston North, New Zealand
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1133
  • Abstract
    Information on rotor position is essential for controlling the operation of switched reluctance motors (SRMs). Conventional SRM drives utilize optical or electromagnetic rotor position sensors which provide a rotor position reference signal while the rotor is in operation. The fitting of a rotor position transducer on an SRM requires additional electrical connections, additional cost and a potential source of unreliability. Considerable attention has recently been applied to various methods for sensorless rotor position measurement, generally based on measurement of phase current and flux and a preknowledge of the magnetic characteristics. This paper presents two methods which deduce sensorless rotor position information by monitoring the excitation signals of the motor phases whilst the inductance is rising. This is done without the injection of diagnostic current pulses and has the advantages that the measured current is large and mutual effects from other phases are negligible
  • Keywords
    digital signal processing chips; machine testing; machine theory; machine vector control; parameter estimation; position control; reluctance motor drives; rotors; diagnostic current pulses injection; excitation signals monitoring; flux measurement; phase current measurement; rotor position measurement; sensorless rotor position estimation; switched reluctance motor drives; Current measurement; Optical sensors; Phase measurement; Position measurement; Pulse measurements; Reluctance machines; Reluctance motors; Rotors; Sensorless control; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    0-7803-5735-3
  • Type

    conf

  • DOI
    10.1109/IECON.1999.819367
  • Filename
    819367