Improved estimation of induction motor circuit parameters with published motor performance data

Gang Wang, Sung Won Park

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

4 Scopus citations

Abstract

The motor equivalent circuit method provides an effective method to estimate motor efficiency. However, the circuit parameters normally have to be determined through field tests, which are impossible to conduct when systems are in service. Because motor efficiency and power factor data at four load levels under the rated frequency are always published, an iterative method is proposed to identify the circuit parameters using these published data. In this paper, the mathematical relations between the published data and circuit parameters are first formularized, and then the least squares method is utilized to identify the circuit parameters. Finally, the motor performance is simulated with the identified circuit parameters and compared with the published data. The results show that the simulated motor performance matches well with the published data.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014
PublisherIEEE Computer Society
Pages25-28
Number of pages4
ISBN (Print)9781479939336
DOIs
StatePublished - Jan 1 2014
Event2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014 - Corpus Christi, TX, United States
Duration: Apr 3 2014Apr 4 2014

Publication series

NameIEEE Green Technologies Conference
ISSN (Electronic)2166-5478

Other

Other2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014
CountryUnited States
CityCorpus Christi, TX
Period4/3/144/4/14

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Keywords

  • Efficiency
  • Equivalent circuit
  • Induction motor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Ecological Modeling
  • Environmental Engineering

Cite this

Wang, G., & Park, S. W. (2014). Improved estimation of induction motor circuit parameters with published motor performance data. In Proceedings - 2014 6th Annual IEEE Green Technologies Conference, GREENTECH 2014 (pp. 25-28). [6824619] (IEEE Green Technologies Conference). IEEE Computer Society. https://doi.org/10.1109/GREENTECH.2014.18