Six-Sigma Robust Topology and Shape Optimization for Flux Switching Permanent Magnet Machines

摘要

Flux-switching permanent magnet machines (FSPMMs) has been investigated for many application including hybrid electric vehicles due to its special configuration and high power density. This paper aims to present a robust optimization method for this kind of machine to improve its manufacturing quality in industry. The proposed robust method is based on design for six-sigma technique. Different topology structures, shape parameters and their manufacturing tolerances will be investigated in this method. Finally, a FSPMM is designed to maximize the average torque and to minimize the torque ripple and cogging torque under the framework of the proposed method. From the discussion, it can be found that the proposed method is efficient and can increase the reliability of the investigated FSPMM.