Optimal Design of Multi-phases Permanent-Magnet Synchronous Machines Using Genetic Algorithms

In order to design multi-phases permanent-magnet (PM) synchronous ma-
chines (PMSMs), a simplified analytical method is used to calculate the
various geometrical parameters. The winding of the machines is concentric
with two layers and the PMs are mounted on the rotor surface. The sizing
model is coupled to an optimization process based on genetic algorithm
(AG). The Pareto front obtained from the optimization, made it possible
to choose the optimal solution. The optimal variables are injected into
the model to calculate the di¤erent parameters. The optimization results
are then used for two-dimensional (2-D) finite-element simulation, where
a power balance is established for each multi-phases PMSMs.