文献类型：期刊文献

英文题名：Intelligent welding robot path optimization based on discrete elite PSO

作者：Wang, Xuewu[1];Shi, Yingpan[1];Yan, Yixin[1];Gu, Xingsheng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2017

卷号：21

期号：20

起止页码：5869

外文期刊名：SOFT COMPUTING

收录：;EI(收录号：20161302175038);WOS:【SCI-EXPANDED(收录号:WOS:000411868100002)】；

基金：This study was funded by Shanghai Natural Science Foundation (Grant Number 14ZR1409900), and National Natural Science Foundation of China (Grant Number 61573144).

语种：英文

外文关键词：Welding robots; Path optimization; Particle swarm optimization; Elite strategy

摘要：Rational path optimization of weld joints sequence can reduce welding time, improve the welding quality and productivity in robot welding process, especially when the number of weld joints is large. In this article, definition of welding robot path optimization is studied first. Then, PSO is used to solve welding robot path optimization after algorithm discretization and global optimization capability improvement based on elite strategy. The shortest path length and welding deformation were considered as the optimization criteria. For double welding robot welding path optimization, the influence with each other should be avoided for two welding robots. Hence, an optimization strategy was proposed to solve double welding robots path optimization problem with constrains of avoiding mutual influence. Simulation results show that the proposed optimization algorithm and strategy can promise desired optimization effect.