Multi-objective design optimisation for PMSLM by FITM

This study researches the multi-objective design optimisation of permanent magnet linear synchronous motors (PMSLMs) which are applied in high-precision laser cutting machines. The innovative fuzzy inference Taguchi method (FITM) coupled with finite element analysis (FEA) is proposed to solve the multi-objective optimisation problems as well as the maximum motor thrust with minimum thrust ripple. On the basis of the orthogonal array established by Taguchi method, the fuzzy inference system was introduced to translate the multiple optimisation targets to a single target. After the optimal selection analysis, the best combination of motor structure factors is obtained with a small FEA computation. Experimental results from the PMSLM prototype can confirm the validity and superiority of FITM.