Synergetic optimization based on doubly salient pole-changing machine for torque ripple reduction

Abstract

In order to achieve the objective of simultaneously reducing the torque ripple in different operating states, a synergetic optimization based on the double salient pole-changing machine is proposed. The key of this method is that make the theoretical analysis about the specific impact of torque ripple based on different parts of the proposed machine. This step can help to determine the main parameters that require to be optimized for torque ripple, and then, the surrogate model is built to represent the relationship between the parameters and torque ripple. Besides, the multi-objective optimization algorithm is applied to achieve the best torque ripple in different operating states. Finally, the optimized scheme is selected according to the optimization method and make the simulation to verify its effectiveness through the finite element analysis method.