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Polynomial Piece-Wise Stiffness in Cable-Based Transmissions for Robots: Modeling and Identification

机译:机器人的电缆传输中的多项式碎片刚度:建模和识别

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This paper deals with cable-based motor-to-joint transmissions of multi-link robots chain. Their effects on robots flexibility have to be taken into account for modeling and control design. More in details, slack cables do not provide any force during compression (unlike springs), may present an initial nonzero elongation (preload) and, depending on the material, could exhibit non-constant stiffness. Those features may lead to non-trivial piece-wise elastic torques in a mechanical transmission. In this context, we present a framework to generate a more general (piece-wise) elastic torque model which can be embedded in the classical flexible-joint robot model, coherently with the Lagrangian approach. Moreover, we propose a model based on polynomial stiffness, whose parameters can be identified with ordinary least-squares techniques. Experimental results conducted on a flexible transmission show the usage and the utility of this work.
机译:本文涉及基于电缆的电动机与多链路机器人链的关节变速箱。它们对机器人灵活性的影响必须考虑到建模和控制设计。更多详细信息,松弛电缆在压缩期间不提供任何力(与弹簧不同),可以呈现初始非零伸长率(预载),并且根据材料,可以表现出非恒定的刚度。这些特征可能导致机械变速器中的非普通片弹性扭矩。在这种情况下,我们提出了一种框架来产生更一般的(典型的)弹性扭矩模型,该弹性扭矩模型可以嵌入经典的柔性联合机器人模型,与拉格朗日方法完全相干。此外,我们提出了一种基于多项式刚度的模型,其参数可以用普通的最小二乘技术识别。在灵活传输上进行的实验结果显示了这项工作的使用和效用。

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