Research On Robot Path Planning For Body Welding Production Line Based On Particle Swarm Optimization

The demand-side orientation of the automotive industry has accelerated the upgrading of products,which puts forward the requirements of fast production response,high efficiency and high flexibility for the production end of the vehicle enterprise.The application of robots in the production process of body-in-white is becoming more and more popular.The production cycle is an important indicator to measure the efficiency of the production line.The research on robot path planning helps to optimize the process of the production line,improve the production efficiency of the workstation,improve the engineering design efficiency,and debug the robot.The process provides an important theoretical reference to simplify complex and cumbersome debugging tasks.This paper relies on the enterprise body-in-white production line design project,taking the cycle problem in the design process as the main body,taking the robot path planning as the entry point,and analyzing the path planning method,so as to apply to the design,optimize the production cycle and meet the production demand.The research process begins with the analysis of the tempo of each station on the production line,finds the bottleneck station,improves the production tempo from the perspective of robot path planning,and classifies the problem as a TSP problem.According to the characteristics of the welding space coordinates of each station,comparing the advantages and disadvantages of the traditional algorithm and the intelligent group algorithm,the particle swarm algorithm in the intelligent group algorithm is combined with the path planning problem.Firstly,the path planning of a single robot is analyzed,the mathematic-al model is established,the appropriate collaborative work of single-station,build more complex mathematical models,research suitable algorithms,and use MATLAB to verify the rationality of the algorithm.Finally,the establishment of mathematical model and the rationality of algorithm selection are obtained.The method is applied to practical engineering design.At the same time,the combination of algorithm and simulation software is explored.It is hoped that it can bring design simulation process.More convenience.In summary,through the application of intelligent group algorithm,it provides a good method for solder joint distribution and path planning.The rationality of the algorithm is verified by MATLAB,which ensures the feasibility of the research and meets the expected results.If we study the combination of algorithm and simulation software,we will better improve the simulation efficiency in the design process.In short,the above path planning research provides a reasonable theoretical reference for simulation and debugging,and solves the problem of beat optimization.