• DocumentCode
    2321318
  • Title

    Fish Method based state estimation for controlling inverter driven machines

  • Author

    Veltman, A. ; van den Bosch, P.P.J. ; Gorter, R.J.A.

  • Author_Institution
    Electromech. & Power Electron. Group, Eindhoven Univ. of Technol., Netherlands
  • fYear
    1994
  • fDate
    20-25 Jun 1994
  • Firstpage
    758
  • Abstract
    Torque and speed of inverter fed squirrel cage induction motors are estimated in this paper, based on just measured voltages and currents. Neither shaft sensors nor machine parameters are needed for the presented estimation method. When current- and stator terminal flux-vectors are projected onto a rotating reference frame according to the Fish Method, a flux-fish and a current-fish curve of almost identical shapes result. Differences between these curves incorporate machine parameter and loading influences. A consistent periodic current-fish movement caused by `slipping-by´ rotor-bars is used to determine the shaft speed and relative shaft position relative to the airgap flux
  • Keywords
    electric drives; invertors; machine control; machine theory; magnetic flux; power convertors; rotors; squirrel cage motors; state estimation; stators; Fish Method based state estimation; airgap flux; current measurement; current-fish curve; current-vectors; flux-fish curve; inverter driven machines control; relative shaft position determination; rotating reference frame; rotor-bars slipping-by; shaft speed determination; speed estimation; squirrel cage induction motors; stator terminal flux-vectors; torque estimation; voltage measurement; Current measurement; Induction motors; Inverters; Marine animals; Shafts; State estimation; Stators; Torque measurement; Velocity measurement; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, PESC '94 Record., 25th Annual IEEE
  • Conference_Location
    Taipei
  • Print_ISBN
    0-7803-1859-5
  • Type

    conf

  • DOI
    10.1109/PESC.1994.349653
  • Filename
    349653