A New Robust Design Method of a Hairpin Winding Permanent Magnet Motor With High Solving Efficiency

This paper presents a new robust design method for permanent magnet motors with high solving efficiency. Firstly, a hybrid population-based intelligent algorithm with a sequential solving strategy is proposed to transform the robust optimization problem into a deterministic optimization and robust analysis problem. The manufacturing uncertainties of PM height, PM width, PM position, and PM remanence are considered. In addition, the support vector regression method is adopted to construct an approximate model to improve the efficiency of robust design. To illustrate the effectiveness of the proposed method, a hairpin winding permanent magnet motor is designed and prototyped, and the effectiveness of the theoretical analysis and simulation results are verified by experimental results.