文章基本信息

标题：Multi-objective path optimization for arc welding robot based on discrete DN multi-objective particle swarm optimization
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作者：Wang Xue-Wu ; Min Yong ; Gu Xing-sheng 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2019
卷号：16
期号：6
页码：1-10
DOI：10.1177/1729881419879827
出版社：SAGE Publications
摘要：Rational weld seams sequence is important for improving welding productivity and quality. Hence, intelligent path optimization strategy is introduced to obtain optimized weld seams sequence in this article. The path length and total welding deformation are considered for multi-objective path planning. First, the optimization problem description is presented. At the same time, the path length and the total welding deformation of some sequences are calculated. Then, improved multi-objective particle swarm optimization algorithm is studied. In addition, the agent model is obtained based on the sample data and experiment design. At last, the proposed algorithm is applied to optimize the welding path length and total welding deformation. The simulation results show the effectiveness of the optimization strategy.
关键词：Multi;objective optimization ; PSO ; welding robot ; path optimization ; welding deformation