Multiple Operating Points Based Optimization: Application to Fractional Slot Concentrated Winding Electric Motors

A general strategy for the multiobjective optimization of electric machines with respect to multiple operating conditions is proposed and applied to two 10-pole 12-slot fractional slot concentrated winding (FSCW) machines. To define an optimization problem, including the effects of multiple operating points, both sensitivity analysis and conflict analysis of the design objectives were incorporated into the proposed strategy. An objective-reduction algorithm was applied in order to make the optimization process affordable under a limited computational budget. The effects of incorporating multiple operating points on the optimization of 10-pole 12-slot FSCWs are presented. The proposed methodology can be applied to solve motor optimization problems with a high number of objectives, in general.