System-Level Robust Design Optimization of a Permanent Magnet Motor Under Design Parameter Uncertainties

In the presence of design parameter uncertainties, a system-level robust design optimization (RDO) method for a permanent magnet motor is proposed to enhance the dynamic and steady performances of a whole motor drive system. To achieve the goal, the influence of individual motor parameters on transient system responses is first investigated with the method of Taguchi experimental planning. The temperature-dependent material property of each motor component is then examined around an operating temperature. A conventionally customized motor drive system is fully simulated based on the finite element method. Finally, it is optimized by the univariate dimension reduction method (DRM) to ensure the robustness of system performances against the manufacturing tolerance and operating temperature fluctuation.

Automated summary

In the presence of design parameter uncertainties, a system-level robust design optimization method is proposed for a permanent magnet motor to enhance the dynamic and steady performances of the motor drive system. The influence of individual motor parameters on transient system responses is investigated through Taguchi experimental planning. The temperature-dependent material property of each motor component is examined, and the motor drive system is then optimized using the univariate dimension reduction method to ensure robustness against manufacturing tolerance and operating temperature fluctuation.