• DocumentCode
    182439
  • Title

    Rotor position estimation for a sensorless switched reluctance motor drive with the aid of real time adaptive filter

  • Author

    Pavlitov, Constantin ; Tashev, Tasho ; Dimitrov, Anton ; Gorbounov, Yassen ; Rusinov, Radoslav

  • Author_Institution
    Tech. Univ. of Sofia, Sofia, Bulgaria
  • fYear
    2014
  • fDate
    21-24 Sept. 2014
  • Firstpage
    77
  • Lastpage
    81
  • Abstract
    This paper deals with rotor position estimation of switched reluctance motors (SRM). The estimation method can be applied in SRM sensorless control of position speed and torque controllers. The implementation suggested is based on a real time adaptive filter. The measured variables are supply voltage and stator currents. These currents are used repeatedly for rotor position estimation by using linear adaptive filter which time constant is adjusted to the speed of the rotor. The result of this estimation is a rather precise and convenient rotor angle determining device for SRM sensorless control electrical drives.
  • Keywords
    adaptive filters; angular velocity control; position control; reluctance motor drives; sensorless machine control; torque control; SRM sensorless control; position speed controllers; real time adaptive filter; rotor position estimation; sensorless switched reluctance motor drive; torque controllers; Adaptive filters; Estimation; Power electronics; Rotors; Switched reluctance motors; Adaptive control; Artificial neural network; Modeling; Sensorless control; Switched reluctance motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
  • Conference_Location
    Antalya
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2014.6980576
  • Filename
    6980576