• DocumentCode
    1701940
  • Title

    Parameter estimation of induction machines under sinusoidal excitation

  • Author

    Jacobina, C.B. ; Lima, A.M.N. ; Ribeiro, L. De S A

  • Author_Institution
    UFPB/CCT/DEE/LEIAM, Campus II, Campina Grande, PB, Brazil
  • fYear
    1997
  • Abstract
    This paper proposes a linear estimation technique to determine the electrical parameters of a three-phase induction machine. The linear regression models are derived from the sinusoidal steady state machine model. The method permits the estimation of a set of four basic parameters [rsr,lsσls ]. The parameters are estimated using only one machine operation point. This study enables one to build a parameter mapping of the induction machine in terms of its operating points. The data vector employed in the estimation procedure is obtained from the phase measurement data. Simulation and experimental results of the proposed approach in the modeling of a three-phase induction machine are presented
  • Keywords
    asynchronous machines; machine testing; machine theory; parameter estimation; statistical analysis; data vector; electrical parameters; linear estimation technique; linear regression models; operating points; phase measurement data; sinusoidal excitation; sinusoidal steady state machine model; three-phase induction machine; Equations; Induction machines; Jacobian matrices; Least squares approximation; Linear regression; Parameter estimation; Phase estimation; Stators; Steady-state; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines and Drives Conference Record, 1997. IEEE International
  • Conference_Location
    Milwaukee, WI
  • Print_ISBN
    0-7803-3946-0
  • Type

    conf

  • DOI
    10.1109/IEMDC.1997.604281
  • Filename
    604281