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Path Planning for Dual-robot Coordinate Welding Based on Multi-objective Genetic Algorithm

HOU Yangqiang;WANG Tianqi;YUE Jianfeng;JIA Zhenwei#br#   

  1. Advanced Mechatronics Equipment Technology Tianjin Area Laboratory, Tianjin Polytechnic University,Tianjin, 300387
  • Online:2018-08-25 Published:2018-08-27
  • Supported by:
    National Natural Science Foundation of China (No. U1733125)
    Natural Science Foundation of Tianjin(No. 17JCZDJC38700)

基于多目标遗传算法的双机器人协调焊接路径规划

侯仰强;王天琪;岳建锋;贾振威   

  1. 天津工业大学天津市现代机电装备技术重点实验室,天津,300387
  • 基金资助:
    国家自然科学基金资助项目(U1733125);
    天津市自然科学基金资助项目(17JCZDJC38700)
    National Natural Science Foundation of China (No. U1733125)
    Natural Science Foundation of Tianjin(No. 17JCZDJC38700)

Abstract: A welding path planning method was proposed by studying the path  planning problems of dual-robot coordinated welding of complex spatial  welds based on multi-objective genetic algorithm .Parameters of affecting  the weld's quality and the stability of robot's movement were analyzed, and the objective function of the evaluation of welding paths such as  welding quality function,collide with dual-robot and robot motion  stability function were established.A multi-objective genetic algorithm  was used to solve the coordinated welding paths,and the optimal welding  path planning of the dual-robot was realized.Taking the "saddle shaped"  space seam as an example,the welding paths of 2 robots were tested and  verified.The results show that the proposed scheme may realize the 
planning of dual-robot coordinated welding paths.

Key words: multi-objective genetic algorithm, dual-robot, welding, path planning

摘要: 对双机器人协调焊接复杂空间焊缝路径规划问题进行研究,提出了一种基于多目标遗传算法的焊接路径规划方案。通过分析影响焊缝质量及机器人运动平稳性的各 参数,建立了评价焊接路径的目标函数:焊接质量函数、机器人运动平稳性函数以及双机器人碰撞函数。利用多目标遗传算法对协调焊接路径进行求解,实现对双机器人最佳焊接路径的规划。以"马鞍形"空间焊缝为例,对双机器人协调焊接路径进行了试验验证。结果表明,该方案可实现双机器人协调焊接路径的规划。

关键词: 多目标遗传算法, 双机器人, 焊接, 路径规划

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