弧焊机器人焊接轨迹及工作空间仿真研究

Zhou Liqiu, Mu Hairong, Zhao Ronghao, Lin Shuju
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引用次数: 1

摘要

根据D-H规则建立坐标系。在MATLAB平台上建立了弧焊机器人IRB-1410的模型。为了拟合弧焊机器人的焊接轨迹,在机器人的工作区域内确定了四个目标点,并利用MATLAB对直线和圆弧轨迹进行了规划。为了证明轨迹规划方法在MATLAB仿真环境下的正确性,利用RobotStudio建立了机器人的相同模型。因为RobotStudio的末端轨迹与实际机器人的末端轨迹相同,便于记录。通过对比MATLAB平台上的轨迹与RobotStudio上的末端轨迹是否一致,证明了MATLAB所做轨迹规划的正确性。利用蒙特卡罗方法求解末端位置的随机值,结合机器人的正运动学函数,生成机器人工作空间的点云图。机器人工作空间的点云图与ABB(机器人公司)提供的机器人工作空间相同。该方法生成的机器人工作空间边界曲线克服了蒙特卡罗方法中随机点分布不均匀以及内部随机点和边界随机点出现概率不同的问题,更加均匀清晰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Welding Trajectory and Workspace Simulation of Arc Welding Robot
According to D-H rule, the coordinate system is established. And the model of arc welding robot IRB-1410 is built on MATLAB platform. In order to fit the welding trajectory of arc welding robot, four target points are determined in the working area of the robot, and the straight line and circular arc trajectory are planned with MATLAB. In order to prove the correctness of trajectory planning method in the simulation environment of MATLAB, the same model of the robot was built with RobotStudio. Because RobotStudio’s end trajectory is the same as the actual robot’s end trajectory and it is convenient to record. By comparing whether the trajectory on the MATLAB platform is consistent with the end trajectory on RobotStudio, the correctness of the trajectory planning made by MATLAB is proved. A point cloud map of the robot workspace is generated by solving the random value of the end position using the Monte Carlo method and the forward kinematics function of the robot. The point cloud map of the robot workspace is identical as the provided robot workspace from ABB (the robot company). The method generated boundary curve of the robot workspace overcomes the uneven distribution of random points in the Monte Carlo method and the different occurrence probability of internal random points and boundary random points, and it is more uniform and clear.
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