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arXiv 0909.1460cs.RO
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并联机器人刚度建模精度的提高

Accuracy Improvement for Stiffness Modeling of Parallel Manipulators

Institut de Recherches en Communications et Cybernetique de Nantes(南特通信与控制研究所);Ecole des Mines de Nantes(南特矿业学院)

Anatoly Pashkevich, Alexandr Klimchik, Damien Chablat, Philippe Wenger

摘要:

针对高速精密加工中并联机器人刚度模型的精度问题进行了研究。它是基于综合的方法,结合分析和数值技术,并与多维集中参数模型的链接处理。后者取代本地6-dof虚拟弹簧描述平移/旋转的顺应性和它们之间的耦合的链接的灵活性。对商用CAD系统中的刚度识别程序进行了详细的精度分析(包括舍入误差的统计分析,刚度矩阵的置信区间评估)。所开发的技术的效率被证实的应用实例,其中涉及平移并联机器人的刚度分析。

英文摘要:

The paper focuses on the accuracy improvement of stiffness models for parallel manipulators, which are employed in high-speed precision machining. It is based on the integrated methodology that combines analytical and numerical techniques and deals with multidimensional lumped-parameter models of the links. The latter replace the link flexibility by localized 6-dof virtual springs describing both translational/rotational compliance and the coupling between them. There is presented detailed accuracy analysis of the stiffness identification procedures employed in the commercial CAD systems (including statistical analysis of round-off errors, evaluating the confidence intervals for stiffness matrices). The efficiency of the developed technique is confirmed by application examples, which deal with stiffness analysis of translational parallel manipulators.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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