Multi-objective optimization design of permanent magnet linear synchronous machine based on stratified strategy

Abstract

This paper proposes a multi-objective stratified optimization (MOSO) design for a permanent magnet linear synchronous machine (PMLSM) to obtain higher thrust and suppress the thrust ripple. MOSO can combine the advantages of different optimization methods and have fast and efficient optimization characteristics. Based on the parametric analysis of the influence of the auxiliary tooth size and the end-tooth width on the thrust performance, the sensitive variables are quickly filtered by using the Taguchi method. The response surface model (RSM) is built by adopting the central composite design (CCD) based on the sensitive variables. Moreover, the stratified optimization design of the PMLSM is completed by combining with the multi-objective particle swarm optimization (MOPSO) to achieve a balance between local and global search. Finally, a prototype is manufactured, and experiments are implemented to verify the proposed method.