Title :
Design by optimization of an axial-flux permanent-magnet synchronous motor using genetic algorithms
Author :
Benlamine, R. ; Dubas, F. ; Randi, S.-A. ; Lhotellier, D. ; Espanet, C.
Author_Institution :
Renault SA, Guyancourt, France
Abstract :
In this paper, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) finite-elements method (FEM) to confirm the validity of the model.
Keywords :
automotive components; design engineering; genetic algorithms; permanent magnet motors; stators; synchronous motors; GA; PM; automotive application; axial-flux permanent-magnet synchronous motor optimization design; double stator axial permanent-magnet machine; genetic algorithms; Analytical models; Finite element analysis; Genetic algorithms; Optimization; Stators; Synchronous motors; Torque; Optimization; analytical model; axial-flux PM synchronous motor; embedded PM; genetic algorithms;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
DOI :
10.1109/ICEMS.2013.6754546
