Experimental validation of a novel synchronous reluctance motor with a sinusoidal rotor shape

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Abstract

In this paper the experimental validation of the novel synchronous reluctance motor with sinusoidal anisotropic rotor is presented. The Novel SynRM is tested to validate previously reported results obtained from theoretical analysis and computer simulation. At first, the rotor alignment test is performed to obtain the d-and q-axis positions with respect to the A-phase axis. Secondly, the standstill dc test is carried out to measure the torque generated by the dc current. The torque is recorded at different current vector angles for various currents. In order to determine the d-and q-axis inductances, the static ac voltage test is carried out. Finally, the shaft torque as function of rotor position and its ripple content are obtained through the dynamic test. To conclude, the practical results of the Novel SynRM are compared with the results of a standard SynRM (standard rotor without cut-off).

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages502-507
Number of pages6
ISBN (Electronic)9781509066841
DOIs
Publication statusPublished - 26 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 20 Oct 201823 Oct 2018

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Country/TerritoryUnited States
CityWashington
Period20/10/1823/10/18

Keywords

  • Experimental validation
  • Machine parameters
  • Novel SynRM
  • Sinusoidal rotor shape
  • Torque
  • Torque ripple

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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