A Two-Stage Parameter Identification Method and Compensation Verification for Heavy Load Robot

Zhirong Wang, Chentao Mao, Zhang-wei Chen, Yuxiang Wang, Jun Zhou, Zhen Lu
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Abstract

Kinematic calibration plays a significant role in improving the robot positioning accuracy. Due to the mechanical factors such as joint deformation and heavy load, some errors are non-geometrical and nonlinear. In this case, a single kinematic calibration method is difficult to achieve good results especially for robots with heavy load. In this paper, a two-stage parameter identification method is proposed, which also deals with joint deformation and heavy load dependent errors to achieve a higher positioning accuracy. In the first stage, the method builds the kinematic model and identifies the geometric errors using the DH model and the distance model. In the second stage, the stiffness of the joint is analyzed and the positioning accuracy is improved on the robot dynamics. Finally, the experiments are carried out on the 6R robot with heavy load. The experimental results demonstrate the effectiveness and correctness of the method.
重载机器人两阶段参数辨识方法及补偿验证
运动学标定对提高机器人定位精度具有重要意义。由于关节变形和重载等力学因素的影响,有些误差是非几何的和非线性的。在这种情况下,单一的运动学标定方法很难获得良好的结果,特别是对于负载较大的机器人。为了实现更高的定位精度,本文提出了一种两阶段参数辨识方法,同时考虑了关节变形和重载相关误差。在第一阶段,该方法建立运动学模型,并使用DH模型和距离模型识别几何误差。第二阶段对关节刚度进行分析,从机器人动力学角度提高定位精度。最后,在6R重型机器人上进行了实验。实验结果证明了该方法的有效性和正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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