A comparison of genetic algorithm and immune algorithm in optimization of one typical axial flux permanent magnet motor

Abstract

Рermanent magnets motors are widely used in the industry due to their high efficiency and their small sizes. Axial flux permanent magnet motors are new generation of permanent magnet motors and they are mainly used as propulsion of electrical vehicles. First in this paper, equations which are related to design of one typical slot less bidirectional axial flux motor have been proposed. These equations have been used in order to optimize key parameters of motor with two optimization methods: genetic algorithm and immune algorithm. Finally results have been presented and one can see that immune algorithm is better than genetic algorithm in optimization of this kind of motor.