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面向多工位多机器人焊接任务的多目标优化方法

余坼操 朱学军 杨旭东 温琼阳 王鹏 彭达

机械科学与技术2026,Vol.45Issue(5):814-827,14.
机械科学与技术2026,Vol.45Issue(5):814-827,14.DOI:10.13433/j.cnki.1003-8728.20240081

面向多工位多机器人焊接任务的多目标优化方法

A Multi-objective Optimization Method for Multi-station and Multi-robot Welding Tasks

余坼操 1朱学军 1杨旭东 1温琼阳 1王鹏 1彭达1

作者信息

  • 1. 宁夏大学 机械工程学院,银川 750021
  • 折叠

摘要

Abstract

The trajectory planning of welding robots and task allocation in multi-station multi-robot systems are crucial elements that determine welding efficiency and energy consumption in the multi-objective optimization problem.For the multi-constraint and strongly coupled problem of multi-station and multi-robot task allocation,considering multiple constraint conditions such as the maximum speed and acceleration of the robot,reachability,collision,and welding time comprehensively,a multi-objective optimization model for welding task allocation and welding sequence collaborative planning is constructed,and a three-layer stepwise optimization algorithm is proposed to optimize and solve it.An optimization model is created for the collaborative planning of welding task distribution and welding sequence,along with a three-layer step-by-step optimization algorithm to solve the model efficiently.The improved NSGA-II algorithm is utilized to optimize the multi-objective trajectory of the welding robot based on path optimization results obtained from a three-layer step-by-step optimization algorithm.The algorithm identifies the Pareto optimal solution set,selects a suitable solution as the trajectory curve,and creates a virtual simulation model in Process Simulate to analyze accessibility,collision,and super-constraints indexes,thereby validating the trajectory feasibility.An experimental platform is built to verify the effectiveness of the proposed method.The three-layer step-by-step optimization algorithm outperforms the greedy algorithm by reducing completion time by 6.93%and energy consumption by 5.01%.It also surpasses the combination of fuzzy C-mean and ant colony algorithm by improving completion time by 4.53%and reducing energy consumption by 2.13%,demonstrating the superiority of this method.

关键词

多工位/多机器人/三层逐步优化/任务分配/多目标优化

Key words

multi-station/multi-robot/three-layer step-by-step optimization/task allocation/multi-objective optimization

分类

信息技术与安全科学

引用本文复制引用

余坼操,朱学军,杨旭东,温琼阳,王鹏,彭达..面向多工位多机器人焊接任务的多目标优化方法[J].机械科学与技术,2026,45(5):814-827,14.

基金项目

国家自然科学基金项目(51765056) (51765056)

机械科学与技术

1003-8728

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