Identification of induction motor parameters

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

Research output: Contribution to journalConference articlepeer-review

16 Scopus citations

Abstract

In this paper, a model-based mapping identification concept is used to identify the unknown parameters of induction motors using transient dynamics. The reported state-space identification scheme can be applied to a wide class of nonlinear multi-variable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are identified for a voltage-fed squirrel-cage induction motor, under the assumption that the state vector is available for measurement.

Original languageEnglish (US)
Pages (from-to)989-994
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 1998
EventProceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA
Duration: Dec 16 1998Dec 18 1998

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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