Barriers shapes and minimum set of rotor parameters in the automated design of Synchronous Reluctance machines

G. Pellegrino, F. Cupertino, C. Gerada

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

37 Citations (Scopus)

Abstract

The rotor design of Synchronous Reluctance machines is considered in this paper, based on a multi-objective, genetic optimization algorithm and finite element analysis. Three different types of barrier geometries are compared, all described by a limited set of input variables. The aim of the paper is to investigate the relationships between the obtainable performance and the different barrier types. The two questions underlying this analysis are: which is the geometry that can potentially give the machine with the highest torque to volume ratio? Which is the geometry with the best compromise between number of input parameters (i.e. computational time) and performance? The results of the analysis show that Synchronous Reluctance machines can be designed using artificial intelligence in a reasonable time, obtaining adequate performances and rotor geometries consistent with the literature.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
Pages1204-1210
Number of pages7
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013 - Chicago, IL, United States
Duration: 12 May 201315 May 2013

Publication series

NameProceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013

Conference

Conference2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
Country/TerritoryUnited States
CityChicago, IL
Period12/05/1315/05/13

Keywords

  • Design optimization
  • Pareto optimization
  • Rotor design
  • Synchronous reluctance machines

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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