Novel Hybridization of Parameter and Topology Optimizations: Application to Permanent Magnet Motor

This article introduces novel hybridization of parameter optimization (PO) and topology optimization (TO) methods. The proposed method is applied to the optimization of a permanent magnet motor. The magnet shape and topology of the flux barrier of the rotor core are optimized by performing PO and TO simultaneously. In the optimization, automatic mesh generation is adopted to improve the resolution of the shape representation. It is shown that the increase in the average torque resulting from the proposed hybrid optimization is larger than that obtained by the conventional TO in which only the topology of the flux barrier is optimized. The decomposition of the total torque to the magnet and reluctance torques suggests that the reluctance torque is effectively generated in the rotor optimized by the proposed method.

Automated summary

This article introduces a novel hybridization of parameter optimization and topology optimization methods, applied to the optimization of a permanent magnet motor. Automatic mesh generation is adopted to improve the resolution of the shape representation, and the proposed hybrid optimization method is shown to be more effective in optimizing permanent magnet motors.