Welding Robot Path Optimization Based on Hybrid Discrete PSO

Abstract

Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid discrete PSO algorithm (HDPSO) was proposed to improve the basic discrete PSO after the light ray optimization, genetic algorithm and chaos optimization strategies were combined first. Then, the HDPSO was used to solve 3-dimensional welding path planning problem. Besides, a welding robot path planning simulation system was designed to realize user friendly path planning, and its practicality was verified by performance test.