A fast-built flux-linkage model for switched-reluctance motors

Hsiao Ping Chi, Ray-Lee Lin, Jiann-Fuh Chen

Research output: Contribution to journalArticle

Abstract

This paper presents a simplified and fast-built model for the analytical representation of the flux linkage of a switched-reluctance motor (SRM). Presently, most conventional methods require numerous flux-linkage-current-position data to build a model; however, this is time-ineffective. In the proposed model, the flux linkage is represented by a limited number of Fourier series terms. The coefficients of the Fourier series are determined by the values of the flux linkage at the aligned position, unaligned position and a midway position. At either the aligned or the midway position, the non-linear relationship between the flux linkage and the phase current is represented by a simplified function, which is derived from a linear relationship — the product of flux linkage and phase current versus phase current — in the saturated region. The proposed model can be built with only five data points of static characteristics, which are simply obtained through finite-element analysis (FEA); this allows for easy implementation and high computational efficiency. The accuracy of the proposed model is verified via comparison to measurements of the steady-state voltage and phase current waveforms of the machine as well as several characteristic curves. The proposed model is shown to have a good degree of accuracy.

Original languageEnglish
Pages (from-to)1071-1080
Number of pages10
JournalJournal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an
Volume29
Issue number6
DOIs
Publication statusPublished - 2006 Jan 1

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Reluctance motors
Fluxes
Fourier series
Computational efficiency
Finite element method
Electric potential

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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title = "A fast-built flux-linkage model for switched-reluctance motors",
abstract = "This paper presents a simplified and fast-built model for the analytical representation of the flux linkage of a switched-reluctance motor (SRM). Presently, most conventional methods require numerous flux-linkage-current-position data to build a model; however, this is time-ineffective. In the proposed model, the flux linkage is represented by a limited number of Fourier series terms. The coefficients of the Fourier series are determined by the values of the flux linkage at the aligned position, unaligned position and a midway position. At either the aligned or the midway position, the non-linear relationship between the flux linkage and the phase current is represented by a simplified function, which is derived from a linear relationship — the product of flux linkage and phase current versus phase current — in the saturated region. The proposed model can be built with only five data points of static characteristics, which are simply obtained through finite-element analysis (FEA); this allows for easy implementation and high computational efficiency. The accuracy of the proposed model is verified via comparison to measurements of the steady-state voltage and phase current waveforms of the machine as well as several characteristic curves. The proposed model is shown to have a good degree of accuracy.",
author = "Chi, {Hsiao Ping} and Ray-Lee Lin and Jiann-Fuh Chen",
year = "2006",
month = "1",
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doi = "10.1080/02533839.2006.9671206",
language = "English",
volume = "29",
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journal = "Chung-kuo Kung Ch'eng Hsueh K'an/Journal of the Chinese Institute of Engineers",
issn = "0253-3839",
publisher = "Chinese Institute of Engineers",
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AU - Chi, Hsiao Ping

AU - Lin, Ray-Lee

AU - Chen, Jiann-Fuh

PY - 2006/1/1

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N2 - This paper presents a simplified and fast-built model for the analytical representation of the flux linkage of a switched-reluctance motor (SRM). Presently, most conventional methods require numerous flux-linkage-current-position data to build a model; however, this is time-ineffective. In the proposed model, the flux linkage is represented by a limited number of Fourier series terms. The coefficients of the Fourier series are determined by the values of the flux linkage at the aligned position, unaligned position and a midway position. At either the aligned or the midway position, the non-linear relationship between the flux linkage and the phase current is represented by a simplified function, which is derived from a linear relationship — the product of flux linkage and phase current versus phase current — in the saturated region. The proposed model can be built with only five data points of static characteristics, which are simply obtained through finite-element analysis (FEA); this allows for easy implementation and high computational efficiency. The accuracy of the proposed model is verified via comparison to measurements of the steady-state voltage and phase current waveforms of the machine as well as several characteristic curves. The proposed model is shown to have a good degree of accuracy.

AB - This paper presents a simplified and fast-built model for the analytical representation of the flux linkage of a switched-reluctance motor (SRM). Presently, most conventional methods require numerous flux-linkage-current-position data to build a model; however, this is time-ineffective. In the proposed model, the flux linkage is represented by a limited number of Fourier series terms. The coefficients of the Fourier series are determined by the values of the flux linkage at the aligned position, unaligned position and a midway position. At either the aligned or the midway position, the non-linear relationship between the flux linkage and the phase current is represented by a simplified function, which is derived from a linear relationship — the product of flux linkage and phase current versus phase current — in the saturated region. The proposed model can be built with only five data points of static characteristics, which are simply obtained through finite-element analysis (FEA); this allows for easy implementation and high computational efficiency. The accuracy of the proposed model is verified via comparison to measurements of the steady-state voltage and phase current waveforms of the machine as well as several characteristic curves. The proposed model is shown to have a good degree of accuracy.

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