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An on-line gravity estimation method using inverse gravity regressor for robot manipulator control

机译:利用逆重力回归器进行机器人操纵器控制的在线重力估计方法

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When a robotic manipulator is controlled, computing gravity force of the robot is the primary issue. Exact model parameters are not easy to be known in the practical robot system due to the uncertainty of the robot dynamics. Hence, the gravity force is presented by a combination of gravity regressor and robot dynamic parameters and is compensated by the estimation of uncertain robot dynamic parameters. Previous researches conducted estimation by using transpose of gravity regressor and full form of dynamic parameters which is not general form however this paper estimates the gravity force using the generalized gravity regressor which is regardless of the dimension and structure of the robot under the quasi-static state. Once the estimation is completed, the estimated value can be used to compute the gravitational force and control the robot. It is shown that the generalized decomposition of gravity regressor and estimation process. The results are validated through an experiment by implementing the algorithm on an upper-body dual arm robot.
机译:当控制机器人操纵器时,计算机器人的重力是主要问题。由于机器人动力学的不确定性,在实际的机器人系统中不容易知道确切的模型参数。因此,重力是由重力回归器和机器人动态参数的组合来表示的,并且可以通过不确定的机器人动态参数的估计来补偿。先前的研究是利用重力回归器的转置和非一般形式的完整动态参数进行估计的,但是本文使用广义重力回归器来估计重力,而重力场的估计与机器人在准静态状态下的尺寸和结构无关。估算完成后,估算值可用于计算重力并控制机器人。结果表明,重力回归方程的广义分解及其估计过程。通过在上臂双臂机器人上实现该算法,通过实验验证了结果。

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