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基于改进粒子群算法的焊接机器人轨迹优化控制方法

Translated title of the contribution: A trajectory optimization control method of welding robot based on improved particle swarm optimization
  • Xi Xu
  • , Hegen Xiong*
  • , Yong Tao
  • , Xianwu Xie
  • , Hui Liu
  • , Baishu Sun
  • *Corresponding author for this work
  • Wuhan University of Science and Technology
  • Beihang University
  • Northwest Industry Group Co. Ltd

Research output: Contribution to journalArticlepeer-review

Abstract

An optimization control method of six degree of freedom welding robot is proposed. The robot’s accessibility, singularity and collision avoidance operation constraints are analyzed. The operational constraints of robot are proposed to build the model. The parametric kinematics model of arc welding robot is established. A new trajectory optimization control method based on improved PSO algorithm is proposed. The method satisfies the given constraints, so that the arc welding robot can optimize the welding operation track at a certain base position to finish the welding work more accurately.Finally,

Translated title of the contributionA trajectory optimization control method of welding robot based on improved particle swarm optimization
Original languageChinese (Traditional)
Pages (from-to)425-433
Number of pages9
JournalGaojishu Tongxin/Chinese High Technology Letters
Volume28
Issue number5
DOIs
StatePublished - 1 May 2018

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