A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study

Yao Duan, Dan M. Ionel

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

31 Scopus citations

Abstract

The paper systematically covers the significant developments of the last decade, including surrogate modelling of electrical machines, direct and stochastic search algorithms for both single- and multi- objective design optimization problems. The specific challenges and the dedicated algorithms for electric machine design are discussed, followed by benchmark studies comparing Response Surface (RS) and Differential Evolutionary (DE) algorithms on a permanent magnet synchronous motor (PMSM) design with 5 independent variables and a strong non-linear multi-objective Pareto front and on a function with 11 independent variables. The results show that RS and DE are comparable when the optimization employs only a small number of design candidates and DE performs better when more candidates are included.

Original languageEnglish
Title of host publicationIEEE Energy Conversion Congress and Exposition
Subtitle of host publicationEnergy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings
Pages3694-3701
Number of pages8
DOIs
StatePublished - 2011
Event3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 - Phoenix, AZ, United States
Duration: Sep 17 2011Sep 22 2011

Publication series

NameIEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings

Conference

Conference3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011
Country/TerritoryUnited States
CityPhoenix, AZ
Period9/17/119/22/11

Keywords

  • AC synchronous machine
  • Brushless (BL) permanent-magnet (PM) motor
  • design methodology
  • differential evolution
  • optimization
  • response surface

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

Fingerprint

Dive into the research topics of 'A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study'. Together they form a unique fingerprint.

Cite this