Optimization of Torque Performance of FSPM Machines by Rotor Pole Shaping using FEA and Genetic Algorithm

Abstract

Owing to the structure of flux switching PM (FSPM) machines, the geometry of the rotor is very critical for electromagnetic performance. Thus, the optimum rotor structure is very significant for this machine. This paper is focused on the electromagnetic performance characteristics of the FSPM machines. Various rotor pole shapes are researched by the optimization to achieve the highest average torque and the lowest torque ripples. In this study, rotor pole shaping methods by adding chamfer, notching, eccentric circular and generic shaping methods for the rotor poles are investigated by the goal of maximum average torque-minimum torque ripple. The goal is resolved on utilizing an optimization with combining the Genetic Algorithm and FEA. By using a 12-stator pole/10-rotor pole FSPM machine structure, the design criteria and capabilities are depicted.