Design of synchronous reluctance motors with multiobjective optimization algorithms

Francesco Cupertino, Gianmario Pellegrino, Chris Gerada

Research output: Journal PublicationArticlepeer-review

88 Citations (Scopus)

Abstract

The automatic design of synchronous reluctance (SyR) machines is considered in this paper by means of finite-element analysis and multiobjective optimization algorithms (MOOAs). The research focuses on the design of the rotor geometry, which is the key aspect of the SyR machine design. In particular, the performance of three popular MOOAs is analyzed and compared in terms of quality of the final design and computational time. A procedure to minimize the computational burden of the optimized design process is introduced and applied to a three-layer and a five layer rotor. Two prototypes experimentally demonstrate the feasibility of the design procedure.

Original languageEnglish
Article number6775258
Pages (from-to)3617-3627
Number of pages11
JournalIEEE Transactions on Industry Applications
Volume50
Issue number6
DOIs
Publication statusPublished - 1 Nov 2014
Externally publishedYes

Keywords

  • Automatic design
  • motor design
  • multiobjective optimization
  • optimization algorithms (OAs)
  • synchronous reluctance (SyR) motor

ASJC Scopus subject areas

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

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