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Variable inductor modeling revisited: The analytical approach

  • J. Marcos Alonso
  • , Marina Perdigão
  • , Marco A. Dalla Costa
  • , Shu Zhang
  • , Yijie Wang
  • University of Oviedo
  • University of Coimbra
  • Polytechnic Institute of Coimbra
  • Universidade Federal de Santa Maria
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the modeling of variable inductors (VI) following an analytical procedure. Usually, in a VI a dc magnetic flux is injected into the structure in order to provide a bias level that allows for magnetic permeability modulation. The ac magnetic flux is superposed to this dc level, thus making it possible that a variable inductance can be seen from the ac windings. Under the assumption that the ac magnetic flux amplitude is much smaller than the bias level, it is possible to analyze the VI by applying the superposition principle to the equivalent reluctance circuit of the structure. This procedure is illustrated in this paper for a double-E based VI. The proposed methodology is supported by both simulation and experimental results for a particular VI.

Original languageEnglish
Title of host publication2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages895-902
Number of pages8
ISBN (Electronic)9781509029983
DOIs
StatePublished - 3 Nov 2017
Event9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States
Duration: 1 Oct 20175 Oct 2017

Publication series

Name2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume2017-January

Conference

Conference9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/TerritoryUnited States
CityCincinnati
Period1/10/175/10/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Modeling
  • Reluctance model
  • Variable inductor
  • magnetic devices

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