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Modelling and Identification of STAUBLI RX-60 Robot

机译:STAUBLI RX-60机器人的建模与辨识

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This paper deals with the modelling and identification of an industrial Staubli RX-60 robot. A Lagrange-Euler method is used to derive the dynamic equations of the robot. The dynamic model introduced here was obtained with the distinct parameters. In this paper, a least squares estimation for determining parameters of a dynamic Staubli RX-60 Robot model based on experiments was used. The robot was moved with respect to many experiments formed. At the end of the movement, data such as the position and velocity was taken from the robot. Moreover, the acceleration was taken from SIMI Motion with a three cameras system and torque was measured from the loadcell (FTC-L50) sensor during the robot experiments. The inertial parameters of the robot were estimated according to these data. The estimation values were verified experimentally. The experimental results show that the estimated inertial parameters predict robot dynamics well. The errors of the torque estimation were also computed and they are between 0.0171 Nm and 0.1136 Nm.
机译:本文涉及工业Staubli RX-60机器人的建模和识别。拉格朗日-欧拉方法用于推导机器人的动力学方程。此处介绍的动态模型是通过不同的参数获得的。在本文中,基于实验,使用最小二乘估计确定动态Staubli RX-60机器人模型的参数。相对于形成的许多实验,该机器人已移动。运动结束时,从机器人获取了位置和速度等数据。此外,在机器人实验期间,加速度是通过具有三个摄像头系统的SIMI Motion获得的,扭矩是通过测力传感器(FTC-L50)来测量的。根据这些数据估算了机器人的惯性参数。估计值已通过实验验证。实验结果表明,估计的惯性参数可以很好地预测机器人动力学。还计算了扭矩估算的误差,误差在0.0171 Nm和0.1136 Nm之间。

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