Automatic Design of Synchronous Reluctance Motors Focusing on Barrier Shape Optimization

Gianmario Pellegrino, Francesco Cupertino, Chris Gerada

Research output: Journal PublicationArticlepeer-review

128 Citations (Scopus)

Abstract

The automated design of synchronous reluctance (SyR) motors based on multiobjective genetic optimization and finite-element analysis is considered in this paper. Three types of barrier shapes are considered, all described by an effective limited set of input variables. The three solutions are investigated to establish which of the geometries can give the best torque output and also which one represents the best compromise between output performance and computational time. The analysis presented in this paper shows that SyR motors designed automatically can give a good performance and can be designed in a reasonable time, and it is also shown that not all design degrees of freedom are useful in terms of motor performance. Two prototypes of automatically designed machines have been fabricated and experimentally compared with a third prototype designed according to state-of-the-art design principles.

Original languageEnglish
Article number6872804
Pages (from-to)1465-1474
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume51
Issue number2
DOIs
Publication statusPublished - 1 Mar 2015
Externally publishedYes

Keywords

  • AC drives
  • Pareto optimization
  • ac machines
  • ac motors
  • design optimization
  • finite-element analysis (FEA)
  • rotor design
  • synchronous motor drives
  • synchronous reluctance (SyR) machines

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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