Multiobjective optimal design of saturated surface-mounted permanent magnet synchronous motors

This paper presents a multiobjective optimal design of the parameters of surface-mounted permanent magnet synchronous motors (PMSMs) considering saturation of the iron core. Multiobjective parameter tuning can further improve the performance characteristics of such motors. Specifically, efficiency and total volume are of great importance in industrial applications. A new formulation is presented for these two objective functions. In this paper, a multiobjective optimization based on a modified nondominated sorting genetic algorithm II (NSGA-II) is utilized for optimal design of PMSM. Pareto-optimal solution is achieved, and optimal variables are obtained. The best solutions are then selected by k-means clustering algorithm for the motor under study. Finally, finite element analysis (FEA) is performed to validate the optimization procedure. The FEA results agree well with the values obtained by the optimization process.