辽宁石油化工大学学报2018，Vol.38Issue(2)：85-89,5.DOI:10.3969/j.issn.16726952.2018.02.017
基于GA-PSO算法焊接机器人路径规划研究
Research on Path Planning of Welding Robot Based on GA-PSO Algorithm
摘要
Abstract
Welding robots have a wide range of applications in manufacturing industries.There are usually many welded joints in the welding task,and a reasonable welding path passes through these welded joints has a significant impact on the welding efficiency.Traditional manual path planning techniques can handle a small number of welded joints effectively,but when the number of welded joints is large,it is difficult to obtain the optimal path.The traditional manual path planning method is also time consuming and inefficient,and cannot guarantee optimality.Genetic algorithm-particle swarm optimization (GA-PSO)is based on the advantages of genetic algorithm (GA)and particle swarm optimization (PSO)to solve the welding robot path planning problem.The simulation results indicate that the algorithm has strong searching ability and practicality and is suitable for welding robot path planning.关键词
焊接机器人/路径规划/遗传算法/粒子群优化算法/全局最优Key words
Welding Robot/Path planning/Genetic algorithm/Particle swarm optimization/Global optimum分类
信息技术与安全科学引用本文复制引用
尤田,张威,葛琳琳..基于GA-PSO算法焊接机器人路径规划研究[J].辽宁石油化工大学学报,2018,38(2):85-89,5.基金项目
抚顺市科学技术发展资金计划项目 (FSKJHT201548) （FSKJHT201548）
辽宁省大学生创新创业项目 (201410148060、201510148068). （201410148060、201510148068）
