• DocumentCode
    1389205
  • Title

    On-line evaluation of a round rotor synchronous machine parameter set estimated from standstill time-domain data

  • Author

    Horning, S. ; Keyhani, A. ; Kamwa, I.

  • Author_Institution
    Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    12
  • Issue
    4
  • fYear
    1997
  • fDate
    12/1/1997 12:00:00 AM
  • Firstpage
    289
  • Lastpage
    296
  • Abstract
    This paper presents a method for identifying the best linear circuit model parameters of a three-phase, round rotor synchronous machine. Standstill time-domain test data and the maximum likelihood estimator are used to identify the values for the equivalent circuit models. The estimated models are validated against standstill data and an online test. A steady-state error adjustment procedure is introduced and the results are analyzed. The final dand q-axis model selections are based on the minimization of the cost function, the concept of parsimony and how well the models predict the online dynamics of the machine. Issues related to the necessity of the Lfld differential leakage inductance and the necessity of the Zfe eddy current branch are also discussed
  • Keywords
    equivalent circuits; machine theory; maximum likelihood estimation; parameter estimation; rotors; stators; synchronous machines; cost function minimisation; differential leakage inductance; eddy current branch; equivalent circuit models; linear circuit model parameters; maximum likelihood estimator; parameter set estimation; standstill time-domain data; steady-state error adjustment procedure; three-phase round rotor synchronous machine; Circuit testing; Cost function; Equivalent circuits; Linear circuits; Maximum likelihood estimation; Minimization; Predictive models; Steady-state; Synchronous machines; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.638863
  • Filename
    638863