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External Torque Estimation for an Industrial Robot Arm using Joint Torsion and Motor Current Measurements

机译:工业机器人臂的外部扭矩估计使用关节扭转和电动机电流测量

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Human robot collaboration requires specific properties of modern lightweight robots that differ from conventional robots. One of these is the property of reacting to external forces acting on the robot structure, which typically requires joint torque measurements. In contrast to that, this paper presents an approach for estimating the external joint torques based on two different information sources, the motor current and the torsional deformation. To obtain an accurate estimation based on the torsional deformation, disturbing effects and inaccuracies of the angular measurements have to be taken into account. An approach for modeling, identification and cancellation of these effects is presented. Furthermore, the fusion of both estimations is discussed and the validation of the approach on a lightweight robot is presented.
机译:人体机器人协作需要与传统机器人不同的现代轻质机器人的特定属性。其中之一是对作用在机器人结构的外力反应的性质,其通常需要关节扭矩测量。与此相反,本文提出了一种基于两个不同信息源,电动机电流和扭转变形来估计外部关节扭矩的方法。为了基于扭转变形获得准确的估计,必须考虑角度测量的扰动效应和不准确性。提出了一种用于建模,识别和取消这些效果的方法。此外,讨论了两个估计的融合,并介绍了轻量级机器人的方法的验证。

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