From the system-level design perspective, a robust design optimization method for a permanent magnetic
motor is proposed to enhance the dynamic performance of a drive system while maintaining its steady performance.
To achieve the goal, an elaborate numerical model for the whole drive system is first constructed by
incorporating a control circuit simulator into a finite element analysis tool, and then the influence of motor
parameter variations on transient system responses is investigated by means of the method of Taguchi experimental
planning. A conventionally customized motor is optimized by the univariate dimension reduction
method to ensure the robustness of system performances against manufacturing tolerances. Finally, a comparative
performance analysis between two motor drive systems is provided to demonstrate the validity of the proposed
method.