Non-intrusive parameter estimation for single-phase induction motors using transient data

Phuc Huynh, Hao Zhu, Dionysios Aliprantis

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

Abstract

This paper presents the parameter estimation problem for single-phase induction motors (SPIMs) using start-up transient voltage and current measurements available at the motor terminals. This non-instrusive estimation approach relies on a dynamic state-space representation for modeling the SPIM transients, which is augmented by the parameters of interest assumed to be constant quantities during start-up. Extended Kaiman Filtering can be then adopted to estimate the parameter states from the input voltage and output current measurements, by linearizing the state equations of the augmented system. The proposed method has been tested on a realistic SPIM model via numerical simulations. The results demonstrate its effectiveness in estimating those parameters that are more significant for SPIM transient analysis.

Original languageEnglish (US)
Title of host publication2015 IEEE Power and Energy Conference at Illinois, PECI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479979493
DOIs
StatePublished - Mar 20 2015
Event2015 IEEE Power and Energy Conference at Illinois, PECI 2015 - Champaign, United States
Duration: Feb 20 2015Feb 21 2015

Publication series

Name2015 IEEE Power and Energy Conference at Illinois, PECI 2015

Other

Other2015 IEEE Power and Energy Conference at Illinois, PECI 2015
CountryUnited States
CityChampaign
Period2/20/152/21/15

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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    Huynh, P., Zhu, H., & Aliprantis, D. (2015). Non-intrusive parameter estimation for single-phase induction motors using transient data. In 2015 IEEE Power and Energy Conference at Illinois, PECI 2015 [7064938] (2015 IEEE Power and Energy Conference at Illinois, PECI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PECI.2015.7064938