Optimal parameter inference method for effective design of synchronous reluctance machines

Mbika Muteba, Bhekisipho Twala, Dan Valentin Nicolea, Wesley Doorsamy

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

3 Citations (Scopus)

Abstract

This paper presents a method for evaluating, both qualitatively and quantitatively, the effects of specific rotor design parameters on the performance of a Synchronous Reluctance Machine (SynRM). The method uses multi-factor experimental design, with Analysis of Variance (ANOVA), and Finite Element Analysis (FEA) to determine the optimal rotor design parameter according to a specific objective. Using this method, two factors-rotor flux barrier pitch angle and barrier width-are selected at simultaneously varied levels for assessment with the aim of analyzing the response variables, which are, the average torque and torque ripple. Results from the investigation show that the influence of the rotor flux barrier pitch angle on the torque ripple is more statistically significant than the influence of the barrier width. However, the effect of the barrier width on the average torque is more significant.

Original languageEnglish
Title of host publication2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042814
DOIs
Publication statusPublished - 3 Aug 2017
Event2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 - Miami, United States
Duration: 21 May 201724 May 2017

Publication series

Name2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

Conference

Conference2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Country/TerritoryUnited States
CityMiami
Period21/05/1724/05/17

Keywords

  • Analysis of Variance
  • Average Torque
  • Finite Element Analysis
  • Rotor Design
  • Synchronous Reluctance machine
  • Torque Ripple

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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