Optimization of auto lamp spraying trajectory based on improved PSO algorithm

In this paper, the optimization method of lamp spraying trajectory is studied, the parabolic coating thickness accumulation rate model is established, and a segmentation algorithm based on lamp spraying is proposed. Taking the deviation between the thickness of the overlapping area and the ideal thi...

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Bibliographic Details
Published inChinese Automation Congress (Online) pp. 7487 - 7492
Main Authors Guo, Biyu, Chen, Wei, Zhang, Jingfeng, Wei, Qingyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.10.2021
Subjects
auto lamp
Automation
Coatings
Optimization methods
Particle swarm optimization
PSO
Robots
spray painting robot
Spraying
Trajectory
trajectory optimization
Online AccessGet full text
ISSN2688-0938
DOI10.1109/CAC53003.2021.9727372

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Summary:In this paper, the optimization method of lamp spraying trajectory is studied, the parabolic coating thickness accumulation rate model is established, and a segmentation algorithm based on lamp spraying is proposed. Taking the deviation between the thickness of the overlapping area and the ideal thickness as the optimization objective, the width and the spraying speed of the two adjacent spraying paths are determined. An improved particle swarm optimization (PSO) algorithm based on edge recombination operator is proposed for the optimal combination of all spraying trajectories on the lamp surface. Simulation experiments and spraying experiments verify the feasibility of the algorithm.
ISSN:2688-0938
DOI:10.1109/CAC53003.2021.9727372