Rapid multi-objective design optimization of switched reluctance motors exploiting magnetic flux tubes

The magnetic design of Switched Reluctance (SR) motors is inherently a hierarchical process. The design cycle progresses through distinct stages where the accuracy improves but computing times increase greatly, thus it often becomes impractical to furnish extensive multi-objective optimization required to accomplish the optimal design. In order to enable rapid and accurate optimization of SR motors an improved reduced-order computational method of flux tubes is implemented to complement and practically replace the time consuming 2D finite element based magnetic analysis. The paper demonstrates how the use of the improved flux tubes approach to evaluate objective functions results in substantially faster while still accurate multi-objective optimization of SR motors