Intelligent memetic algorithm using GA and guided MADS for the optimal design of Interior PM Synchronous Machine

  • Dongsu Lee
  • , Seungho Lee
  • , Jong Wook Kim
  • , Cheol Gyun Lee
  • , Sang Yong Jung

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

3 Scopus citations

Abstract

Optimal design of electric machine based on FEA (Finite Element Analysis) calls for much longer computation time for maintaining high accuracy. In order to compensate the excessive computation time and guarantee the reliable convergence to global optimum, the intelligent memetic algorithm is newly implemented by combining the GA(Genetic Algorithm) and the guided MADS(Mesh Adaptive Direct Search) using the modified poll points with the relationship. Particularly, the proposed algorithm has been employed to the optimal design of IPMSM(Interior Permanent Magnet Synchronous Machine) with the many local optima, emphasizing the fast convergence to the optimal design solution maintaining the reliable accuracy.

Original languageEnglish
Title of host publicationDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 - Chicago, IL, United States
Duration: 9 May 201012 May 2010

Publication series

NameDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

Conference

Conference14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
Country/TerritoryUnited States
CityChicago, IL
Period9/05/1012/05/10

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