Multi-objective design optimisation for PMSLM by FITM

作     者：Dong, Fei Song, Juncai Zhao, Jiwen Zhao, Jing 

作者机构：Anhui Univ Dept Elect Engn Jiulong Rd 111 Hefei Anhui Peoples R China 

出 版 物：《IET ELECTRIC POWER APPLICATIONS》 (IET电力应用)

年 卷 期：2018年第12卷第2期

页      面：188-194页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China [51637001  51577001  51277002] 

主　　题：optimisation permanent magnet motors linear synchronous motors laser beam cutting cutting tools fuzzy reasoning Taguchi methods finite element analysis electric machine analysis computing multiobjective design optimisation problem PMSLM FITM permanent magnet linear synchronous motor high-precision laser cutting machine fuzzy inference Taguchi method finite element analysis FEA maximum motor thrust minimum thrust ripple orthogonal array multiple optimisation target optimal selection analysis motor structure factor 

摘      要：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.