Welding Robot Path Optimization Based on Hybrid Discrete PSO

被引：3

作者：

Wang, Xuewu ^{[1
]}

Li, Minghao ^{[1
]}

Xue, Lika ^{[1
]}

Ding, Dongyan ^{[2
]}

Gu, Xingsheng ^{[1
]}

机构：

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

[2] Shanghai Jiao Tong Univ, Inst Microelect Mat & Technol, Sch Mat Sci & Engn, Shanghai 200240, Peoples R China

来源：

2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 2 | 2014年

关键词：

Welding Robot; Path Planning; Optimization; PSO; Hybrid Discrete PSO;

D O I：

10.1109/ISCID.2014.54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid discrete PSO algorithm (HDPSO) was proposed to improve the basic discrete PSO after the light ray optimization, genetic algorithm and chaos optimization strategies were combined first. Then, the HDPSO was used to solve 3-dimensional welding path planning problem. Besides, a welding robot path planning simulation system was designed to realize user friendly path planning, and its practicality was verified by performance test.

引用

页数：4

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