Multi-objective optimization of enhanced stator permanent magnet hybrid stepping motor based on Taguchi and respond surface method

This paper presents an enhanced stator permanent magnet hybrid stepping motor (ESPMHSM) as a promising HSM. However, the motor involves multiple structural parameters, and the interactions among these parameters substantially influence motor performance during the optimization process. In order to address this issue, this paper proposes a multi-objective optimization method integrating the Taguchi method and the Response Surface method (RSM). The detent torque, torque density, torque ripple and PM weight are selected as the optimization objectives. Firstly, the Taguchi method is used to construct an orthogonal experimental matrix. Subsequently, the trends and proportions of the influence of the optimization variables on the optimization objectives are analyzed, and the optimal ranges for each optimization variable are determined. Secondly, the optimization functions are formulated using the least-squares method and the solutions of these functions are derived through the RSM. Then, the electromagnetic performance between the optimized and the initial motors is analyzed. Finally, a prototype is manufactured and tested. The results validate the feasibility of the optimization method and the correctness of the analyses.