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Dynamics identification of a damped multi elastic link robot arm under gravity

机译:重力作用下阻尼多弹性连杆机器人手臂的动力学识别

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The infinite dimensionality, varying, uncertainties or even unknown boundary conditions render the derivation and — in particular — the identification of accurate dynamics models for elastic link robots tedious and error prone. This contribution circumvents these challenges by the prior application of a model-free inner loop oscillation damping controller before modelling the robot's dynamics. Then, the damped dynamics of a multi elastic link robot arm under gravity can be modelled with high accuracy. An analytical and a data-driven model for the damped dynamics are proposed and quantitatively compared. Both models can explain motor currents as well as link strain measurements in real-time. The paper includes an experimental model validation with different payloads in the entire workspace of the robot.
机译:无限的尺寸,变化,不确定性甚至未知的边界条件使得推导过程尤其是为弹性链接机器人确定准确的动力学模型变得乏味且容易出错。通过在对机器人动力学建模之前先应用无模型的内环振荡阻尼控制器来克服这些挑战。然后,可以高精度建模多弹性链接机器人手臂在重力作用下的阻尼动力学。提出了阻尼动力学的解析模型和数据驱动模型,并进行了定量比较。两种模型都可以实时解释电动机电流以及连杆应变测量。本文包括在整个机器人工作区中使用不同有效负载的实验模型验证。

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