ABSTRACT
This paper presents a new method for multiobjective optimisation of a switched reluctance
motor. Four objective functions regarding motor efficiency, power factor, torque ripples and
outer volume are considered. The proposed method combines fuzzy logic, genetic algorithm
and simplex technique as a general global optimisation technique. The new technique is
searching for the best compromise solution, which maximises the designer total degree of
satisfaction. In order to predict the motor performance accurately , a hybrid FEA-analytical
simulation model has been adopted. The model combines some of the FEA accuracy with the
simplicity of analytical model. A full time stepping FEA analysis for the optimised motor has
been done to verify the final design of the motor.