Transient analysis of a start-up synchronous reluctance motor with symmetrical distributed rotor cage bars

Vitalis Aguba, Mbika Muteba, Dan Valentin Nicolae

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

15 Citations (Scopus)

Abstract

This paper deals with the transient analysis of direct-on-line synchronous reluctance motor (SynRM) with symmetrical distributed rotor cage bars. Finite Element is utilized to analyze the transient behavior in both synchronized and unsynchronized regimes of the direct-on-line SynRM. In this paper two Synchronous reluctance motors are modelled and analyzed. The first motor is referred to as SynRM1. It has cage bars in the rotor iron structure above the flux barrier and placed near the machine's airgap. The second is labelled as SynRM2, where the cage bars are inserted in the flux barriers. The characteristic behavior in synchronized and unsynchronized regimes of both SynRMs are obtained on no-load and full-load, through ac magnetic-transient solver. Other performance indexes of interest, such as the efficiency and power factor are also analyzed.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1290-1295
Number of pages6
ISBN (Electronic)9781538627754
DOIs
Publication statusPublished - 3 Nov 2017
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sept 201720 Sept 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017

Conference

ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town
Period18/09/1720/09/17

Keywords

  • Characteristic behavior
  • Direct-on-line
  • Efficiency
  • Finite Element Analysis
  • Power Factor
  • Synchronous Reluctance Motor

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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