Parameter and Topology Optimization Method for IPM Motors using Multimodal Neural Network

This study proposes a novel parameter and topology optimization method for an interior permanent magnet synchronous motor using a multimodal neural network. The optimized shape obtained by the proposed method improves the manufacturability compared to the conventional method. In addition, the computational time of the optimization using the proposed method is reduced by about
$99.9{{\% }}$
compared to the optimization using only the finite element method.