Affiliations: Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Skopje, Republic of Macedonia
Correspondence:
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Corresponding author: Goga Cvetkovski, Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University, Rugjer Bošković 18, P.O. Box 574, 1000 Skopje, Republic of Macedonia. Tel.: +389 2 3099 143; Fax: +389 2 3064 262; E-mail:[email protected]
Abstract: In this paper a genetic algorithm based optimal design of
an axial flux permanent magnet motor (AFPMM) is proposed. This approach
employs a genetic algorithm (GA) technique as a search tool for optimal
design solution of a AFPMM based on the value of the objective function. The
sum of the efficiency of the motor, the inverse value of the permanent
magnet total mass and the inverse value of the total copper mass is selected
as a multi-objective function. An overall comparative analysis of the
optimisation parameters and the values of certain important motor parameter
of the prototype model and the optimal solution motor is presented.
