Evolutionary optimization of permanent magnet machine design for traction applications

Beniakar, M; Tsampouris, E; Patsios, C; Kladas, A

dc.contributor.author	Beniakar, M	en
dc.contributor.author	Tsampouris, E	en
dc.contributor.author	Patsios, C	en
dc.contributor.author	Kladas, A	en
dc.date.accessioned	2014-03-01T02:46:47Z
dc.date.available	2014-03-01T02:46:47Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32854
dc.subject	Design Optimization	en
dc.subject	Differential Evolution	en
dc.subject	Evolutionary Optimization	en
dc.subject	finite element analysis fea	en
dc.subject	Machine Design	en
dc.subject	Permanent Magnet	en
dc.subject	Permanent Magnet Machine	en
dc.subject	Satisfiability	en
dc.subject.other	Design optimization	en
dc.subject.other	Differential evolution algorithms	en
dc.subject.other	Evolutionary optimizations	en
dc.subject.other	Finite element analysis	en
dc.subject.other	Permanent-magnet machine	en
dc.subject.other	PM machines	en
dc.subject.other	Static and dynamic	en
dc.subject.other	Traction applications	en
dc.subject.other	Electric traction	en
dc.subject.other	Electromagnetic field measurement	en
dc.subject.other	Electromagnetic fields	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Finite element method	en
dc.subject.other	Magnetic devices	en
dc.subject.other	Optimization	en
dc.subject.other	Permanent magnets	en
dc.subject.other	Traction (friction)	en
dc.subject.other	Machine design	en
dc.title	Evolutionary optimization of permanent magnet machine design for traction applications	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CEFC.2010.5481649	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CEFC.2010.5481649	en
heal.identifier.secondary	5481649	en
heal.publicationDate	2010	en
heal.abstract	Permanent Magnet (PM) machines constitute a favored drive choice in electric traction applications due to their increased efficiency. Design optimization of such machines could enhance their ability to satisfy contradictory static and dynamic requirements. In this paper a Differential Evolution (DE) algorithm for PM machine design optimization, coupled with a finite element analysis (FEA) is employed. © 2010 IEEE.	en
heal.journalName	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010	en
dc.identifier.doi	10.1109/CEFC.2010.5481649	en