Robust Optimization Approach Applied to Permanent Magnet Synchronous Motor

In the design of an electric machine, it is necessary for the designer to complete a robust design. The design parameters may be subjected to the uncertainty such as manufacturing tolerance, or deviation of the material characteristic. Any perturbation in a design parameter can lead to an unpredictable characteristic. This effect can be detected through a post process, such as a sensitivity analysis. In order to increase the numerical efficiency, this paper presents a new algorithm to evaluate the robustness in a candidate solution. It has a unique advantage in that the proposed algorithm can measure and control the extent of robustness according to the problem to be applied. The usefulness of the proposed algorithm is verified by means of the mathematical test function and the optimal overhang design of the surface permanent-magnet motor. The proposed method provides a new alternative as the decision maker of robustness in the robust optimization problem.