Optimal Design of the Transverse Flux Machine Using a Fitted Genetic Algorithm with Real Parameters

Alin Argeseanu, Ewen Ritchie, Krisztina Monika Leban

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8 Citationer (Scopus)

Abstract

This paper applies a fitted genetic algorithm (GA) to the optimal design of transverse flux machine (TFM). The main goal is to provide a tool for the optimal design of TFM that is an easy to use. The GA optimizes the analytic basic design of two TFM topologies: the C-core and the U-core. First, the GA was designed with real parameters. A further, objective of the fitted GA is minimization of the computation time, related to the number of individuals, the number of generations and the types of operators and their specific parameters.
OriginalsprogEngelsk
TitelProceedings of the 13th International Conference on Optimization of Electrical and Electronic Equipment
Antal sider8
ForlagIEEE Press
Publikationsdato2012
Sider671-678
ISBN (Trykt)978-1-4673-1650-7
ISBN (Elektronisk)978-1-4673-1652-1
DOI
StatusUdgivet - 2012
Begivenhed13th International Conference on Optimization of Electrical and Electronic Equipment - Brasov, Rumænien
Varighed: 24 maj 201226 maj 2012

Konference

Konference13th International Conference on Optimization of Electrical and Electronic Equipment
Land/OmrådeRumænien
ByBrasov
Periode24/05/201226/05/2012
NavnOptimization of Electrical and Electronic Equipment (OPTIM), Proceedings
ISSN1842-0133

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