Multi-Objective Topology Optimization Method for Hybrid-Type Motors Combining Combinatorial Optimization and Local Search

This study proposes a novel multi-objective topology optimization method for hybrid-type motors. In the proposed method, the optimization process is divided into two steps. First, combinatorial optimization is performed to obtain a solution with a geometry that combines, for example, the structure of a wound field motor (WF motor) and an interior permanent magnet motor. Thereafter, a local search is performed within the constrained design region for each Pareto solution obtained in the first step. The proposed method facilitated motor geometries with multiple advantages, for example, the flux adjustment capability of WF motors and high torque characteristics of interior permanent magnet motors (IPM motors). The proposed method was validated through its application to the optimization problem of a hybrid-field motor and a permanent magnet assisted synchronous reluctance motor (PMa-SyRM).