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Kinematics calibration research based on the positioning error of the 6-DOF industrial robot

机译:基于六自由度工业机器人定位误差的运动学标定研究

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The forward kinematics model is deduced by combining the D-H method and MD-H method. The Jacobian matrix is deduced by total differential calculation. Thus, a kinematics calibration error model is established in this paper. The positioning accuracy of a SIASUN SR165C industrial robot is improved by using a 24-parameter calibration model. The error model takes into account all geometric parameters. The least square method is used to find the 24 error parameters. The simulation of the robot's positioning accuracy is performed with 100 points throughout the complete robot's joint space. After calibrating, the maximum positioning error on the end-effector is reduced from 0.541499 mm to 0.070459 mm, the average positioning error on the end-effector is reduced from 0.225000mm to 0.041075 mm, and the fluctuation of the error decreases.
机译:结合D-H方法和MD-H方法推导了正向运动学模型。雅可比矩阵是通过总微分计算得出的。因此,本文建立了运动学标定误差模型。通过使用24参数校准模型,可以提高SIASUN SR165C工业机器人的定位精度。误差模型考虑了所有几何参数。最小二乘法用于查找24个错误参数。在整个机器人的关节空间中以100个点进行机器人定位精度的仿真。校准后,在末端执行器上的最大定位误差从0.541499 mm减小到0.070459 mm,在末端执行器上的平均定位误差从0.225000mm减小到0.041075 mm,并且误差的波动减小。

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