• DocumentCode
    1674164
  • Title

    Estimating the parameters of an induction motor in open-loop and closed-loop operation

  • Author

    Netto, A.J. ; Barros, P.R. ; Jacobina, C.B. ; Lima, A.M.N.

  • Author_Institution
    Dep. de Eng. Eletrica, UFCG, Campinas, Brazil
  • Volume
    1
  • fYear
    2004
  • Lastpage
    31
  • Abstract
    The purpose of this paper is to present two methods for estimating all the parameters of induction motors operating in open-loop or in closed-loop. The parameters are obtained by solving a recursive least squares minimization problem. The estimation procedure is performed in two parts. First, the stator leakage inductance and the stator resistance are determined by using the homopolar machine model. Then, given the previously estimated homopolar parameters and by using the dynamic dq model, all the other parameters are determined. The first method is derived for open-loop operation. In the second method, the model is derived for the case where the stator currents of the motor are regulated via a linear feedback controller. Selected experimental results are used to demonstrate the feasibility and performance of the proposed methods.
  • Keywords
    electric current control; feedback; homopolar machines; inductance; induction motors; leakage currents; least squares approximations; machine control; minimisation; parameter estimation; stators; closed-loop operation; dynamic dq model; homopolar machine model; induction motor; linear feedback controller; open-loop operation; parameter estimation; recursive least squares minimization problem; stator currents; stator leakage inductance; stator resistance; Adaptive control; Electric resistance; Homopolar machines; Inductance; Induction motor drives; Induction motors; Jacobian matrices; Least squares methods; Parameter estimation; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348384
  • Filename
    1348384