Multi Objective Optimization of Permanent Magnet Synchronous Motor Based on Taguchi Method and PSO Algorithm

To solve the optimization issues of interior permanent magnet synchronous motors (IPMSMs) and ensure a large output torque while minimizing ripple core loss, multi-objective strategy should be employed. In this study, we took an 8-pole, 48-slot IPMSM as specimen. First, width thickness (PM) rotor bridge structures were pre-selected parameters, loss taken targets. Then, Taguchi method to perform orthogonal experiments was employed select multi-parameter combinations that make experimental results stable with little fluctuation. optimal results, function equations obtained by multivariate nonlinear fitting, parameters optimized particle swarm (PSO). Finally, verified Finite Element Method (FEM). The show our proposed hybrid can provide design better performance such smaller maintaining larger torque.