Robot welding trajectory optimization based on intersecting line welds
FAN Chenhui
LIU Huan
LIU Xuan
TANG Xiang
Abstract：[Objective]Operational efficiency,smoothness and energy consumption have been bottlenecks in the trajectory optimization for industrial robots in the non-contact processing such as welding and painting.To this end,a trajectory planning method based on the improved particle swarm algorithm was proposed.[Methods]Firstly,an acceleration continuity constraint method based on smooth paths was proposed so that the velocity,acceleration and jerk of each joint of the robot were bounded and continuous.Secondly,a variable angle interpolation method was proposed to select the optimal torch end trajectory discrete points.Finally,a particle swarm with an elite mutation strategy was used to solve the time series corresponding to the optimal energy consumption.A method was proposed to apply an average fuzzy affiliation function to screen out the best solution of the Pareto front,and then the optimal continuous motion trajectory of energy consumption was planned.[Results]The test results show that the method improves the optimal time,the balance of shocks and the continuity of acceleration,and improves the optimization ability by 22.83%and 25.63%compared to the standard particle swarm and the genetic algorithm,respectively.Planning trajectories to meet industrial welding requirements are shown by Adams software dynamic simulation and practical welding test results.
Keywords：Intersecting weldTrajectory planningElite mutationImproved particle swarm optimization algorithmFuzzy affiliation
Publication Date：2025-10-31
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 31-39 )