Nonlinear identification of induction motor parameters

V. Pappano, S. E. Lyshevski, B. Friedland

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

In this paper, a nonlinear mapping identification concept is applied to identify the unknown parameters of induction motors using transient dynamics. The developed identification algorithm has significant advantages due to computational efficiency, robustness and convergence, reliability and feasibility. The reported model-based state-space identification can be applied to a wide class of nonlinear multivariable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are found for a squirrel-cage induction motor, under the assumption that all the state vector is available for measurement.

Original languageEnglish (US)
Pages (from-to)3569-3573
Number of pages5
JournalProceedings of the American Control Conference
Volume5
StatePublished - Dec 1 1999
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: Jun 2 1999Jun 4 1999

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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