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CAD-based approach for identification of elasto-static parameters of robotic manipulators

机译:基于CAD的机械手弹性静力参数识别方法。

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The paper presents an approach for the identification of elasto-static parameters of a robotic manipulator using the virtual experiments in a CAD environment. It is based on the numerical processing of the data extracted from the finite element analysis results, which are obtained for isolated manipulator links. This approach allows to obtain the desired stiffness matrices taking into account the complex shape of the links, couplings between rotational/translational deflections and particularities of the joints connecting adjacent links. These matrices are integral parts of the manipulator lumped stiffness model that are widely used in robotics due to its high computational efficiency. To improve the identification accuracy, recommendations for optimal settings of the virtual experiments are given, as well as relevant statistical processing techniques are proposed. Efficiency of the developed approach is confirmed by a simulation study that shows that the accuracy in evaluating the stiffness matrix elements is about 0.1%.
机译:本文提出了一种使用CAD环境中的虚拟实验来识别机器人操纵器的弹性静态参数的方法。它基于从有限元分析结果中提取的数据的数值处理,这些数据是为孤立的机械手链接获得的。考虑到链节的复杂形状,旋转/平移偏转之间的耦合以及连接相邻链节的接头的特殊性,这种方法允许获得所需的刚度矩阵。这些矩阵是机械手集总刚度模型的组成部分,由于其高计算效率而被广泛用于机器人技术。为了提高识别精度,给出了虚拟实验最佳设置的建议,并提出了相关的统计处理技术。通过仿真研究证实了开发方法的效率,该仿真研究表明,评估刚度矩阵元素的准确性约为0.1%。

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