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

Duy Huynh, Mathew Walter Dunnigan, Stephen Finney

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Pages444-449
Number of pages6
Publication statusPublished - 2010

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