• DocumentCode
    2194705
  • Title

    On-line identification of induction motors through discrete models for sinusoidal signals

  • Author

    Prado, Alcindo Do, Jr. ; De Sousa, Antonio H. ; Ferrari, Sandro M.

  • Author_Institution
    Santa Catarina State Univ.
  • fYear
    2006
  • fDate
    23-26 May 2006
  • Firstpage
    1287
  • Lastpage
    1292
  • Abstract
    This work presents a method for on-line identification of induction motors based on discrete model of the linear relationship existent among the stator flux and current in the rotor frame. The modeling arises by considering the sinusoidal nature of these signals, and their sampling without zero order holder. The method presupposes the estimate of these signals from their measurements in the stator frame, the estimate of the stator resistance with DC excitation, the measurements of the rotor angular velocity and the knowledge of the motor class, in order to one obtain the other electric parameters through classic methods of least squares. Simulation and experimental results illustrate the methodology
  • Keywords
    angular velocity measurement; induction motors; least squares approximations; magnetic flux; parameter estimation; rotors; stators; DC excitation; discrete models; induction motors; least squares methods; online identification; rotor angular velocity measurements; rotor frame current; sinusoidal signals; stator flux; stator resistance estimation; Angular velocity; Electric resistance; Electric variables measurement; Electrical resistance measurement; Induction motors; Rotors; Sampling methods; Signal processing; Stators; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
  • Conference_Location
    Taormina
  • Print_ISBN
    1-4244-0193-3
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2006.1649966
  • Filename
    1649966