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The complexity of the electric machine structure makes an optimal design a difficult and challenging task. Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are two popular methods for their advantages such as gradient-free and ability to find global optima. Due to the fact that the machine design models are sometimes computationally intense, it is important for the optimization algorithms...
A fast and efficient multi-objective design method is developed for comparison of the traditional distributed winding (DW) and the more popular concentrated winding (CW) configuration for surface mount permanent magnet (SMPM) machines. First an analytical design model previously developed for DW machines is adapted for CW machines and the accuracy is verified by finite element analysis (FEA); then...
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