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Study of error compensations and sensitivity analysis for 6-Dof serial robot

机译:6 DOF串行机器人的误差补偿与灵敏度分析研究

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Purpose The purpose of this paper is to improve the positioning accuracy of 6-Dof serial robot by the way of error compensation and sensitivity analysis. Design/methodology/approach In this paper, the Denavit-Hartenberg matrix is used to construct the kinematics models of the robot; the effects from individual joint and several joints on the end effector are estimated by simulation. Then, an error model based on joint clearance is proposed so that the positioning accuracy at any position of joints can be predicted for compensation. Through the simulation of the curve path, the validity of the error compensation model is verified. Finally, the experimental results show that the error compensation method can improve the positioning accuracy of a two joint exoskeleton robot by nearly 76.46%. Findings Through the analysis of joint error sensitivity, it is found that the first three joints, especially joint 2, contribute a lot to the positioning accuracy of the robot, which provides guidance for the accuracy allocation of the robot. In addition, this paper creatively puts forward the error model based on joint clearance, and the error compensation method which decouples the positioning accuracy into joint errors. Originality/value It provides a new idea for error modeling and error compensation of 6-Dof serial robot. Combining sensitivity analysis results with error compensation can effectively improve the positioning accuracy of the robot, and provide convenience for welding robot and other robots that need high positioning accuracy.
机译:目的本文的目的是通过误差补偿和灵敏度分析来提高6-DOF串行机器人的定位精度。设计/方法/方法在本文中,Denavit-Hartenberg矩阵用于构建机器人的运动学模型;通过模拟估计各个关节和近端效应器上几个接头的影响。然后,提出了一种基于关节间隙的误差模型,使得可以预测任何关节位置处的定位精度以进行补偿。通过模拟曲线路径,验证了误差补偿模型的有效性。最后,实验结果表明,误差补偿方法可以通过近76.46%提高两个关节外骨骼机器人的定位精度。通过分析联合误差灵敏度的调查结果,发现前三个关节,尤其是接头2,为机器人的定位精度有很大贡献,这为机器人的准确性分配提供了指导。此外,本文创造性地提出了基于关节间隙的误差模型,以及将定位精度与关节误差分离的误差补偿方法。原始性/值它为6-DOF串行机器人提供了一个新的误差建模和错误补偿。结合误差补偿的敏感性分析结果可以有效地提高机器人的定位精度,为焊接机器人和需要高定位精度的其他机器人提供便利性。

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