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An Adaptive Industrial Robot Spraying Planning and Control System

Zhifeng Wang, Zhiming Zhen, Zeqin Lin, Tao Wen, Chenglong Guo, Haichu Che

发表年份
2020
引用次数
8

摘要

With the improvement of spraying technology and spraying quality requirements, the traditional manual spraying can no longer meet the needs of modern industrial development. Industrial robot automatic spraying technology has been rapidly applied in automobile and ceramic industry. However, due to the special structure of the spraying workpiece and the numerous and coupling process parameters, it is difficult to plan and control the spraying trajectory of the industrial robot. For this reason, an adaptive trajectory and process parameter planning and control method for industrial robots is very important. In order to make the robot spraying adapt to the structure irregular shape and small batch production mode, this system proposes a robot spraying adaptive generation intelligent spraying system based on robot recognition and paint closed-loop control technology. It solves the problems of long planning process and poor quality caused by the complex structure of the workpiece. At the same time, this paper proposes a closed-loop paint supply system based on variant PID, which improves the robot process planning and coating supply control level, making the spraying effect of industrial robots better.

关键词

RobotIndustrial robotControl engineeringProcess (computing)EngineeringTrajectoryManufacturing engineeringComputer scienceAutomotive engineeringArtificial intelligence

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