Using genetic algorithms in design optimization of the flux switching motor

Optimisation of the lamination shape of a reluctance machine such as the flux switching motor is a multidimensional problem. Genetic algorithms have been shown to be well suited to optimization of various electrical machines and this paper describes the design and implementation of a genetic algorithm based optimisation system for a flux switching motor. Benefits of employing computer-automated design over the traditional design method are illustrated. An outline of the computer implementation of the FSM design and optimisation procedure using genetic algorithms is presented. A revised lamination design showing improved performance over an existing design is presented.