On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors

Duy C. Huynh, Matthew W. Dunnigan, Stephen J. Finney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper proposes a recursive least-squares (RLS) algorithm with multiple time-varying forgetting factors for on-line parameter estimation of an induction machine (IM). The regressive mathematical model of the IM is also introduced which is simple and appropriate for online parameter estimation. The estimator inputs using the proposed RLS algorithm are easily measurable variables such as the stator voltages and currents as well as the rotor speed of the IM. The simulation results obtained compare the estimated parameters with the IM parameters achieved using other RLS algorithms such as a standard RLS algorithm and a RLS with a constant forgetting factor. The comparison shows that the proposed RLS algorithm is better than others for on-line parameter estimation of the IM. ©2010 IEEE.

Original languageEnglish
Title of host publicationPECon2010 - 2010 IEEE International Conference on Power and Energy
Pages444-449
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Power and Energy - Kuala Lumpur, Malaysia
Duration: 29 Nov 20101 Dec 2010

Conference

Conference2010 IEEE International Conference on Power and Energy
Abbreviated titlePECon2010
CountryMalaysia
CityKuala Lumpur
Period29/11/101/12/10

Keywords

  • Induction machine
  • Parameter estimation
  • Recursive least-squares algorithms

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    Huynh, D. C., Dunnigan, M. W., & Finney, S. J. (2010). On-line parameter estimation of an induction machine using a recursive least-squares algorithm with multiple time-varying forgetting factors. In PECon2010 - 2010 IEEE International Conference on Power and Energy (pp. 444-449) https://doi.org/10.1109/PECON.2010.5697624