全驱动机器人捕获翻滚目标的几何控制器

Hrishik Mishra, M. Stefano, A. Giordano, R. Lampariello, C. Ott
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引用次数: 5

摘要

在本文中,我们研究了用装备有全驱动机械臂的航天器(服务)接近刚性翻滚卫星(目标)的任务。我们考虑一个服务与末端执行器安装的外部感知传感器的反馈目标运动。然而,这个传感器只能提供一个有噪声的相对姿态(位置和方向)的翻滚目标的抓取框架。针对这种时变情况,我们提出了一种新的方法,即几何扩展卡尔曼滤波器(EKF)观测器和几何控制器的级联互连。关键思想是利用所提出的EKF估计非强制目标的完整状态空间,然后在控制律的前馈和反馈项中使用这些估计,同时利用完全驱动的服务。这导致了级联互连,并证明了其局部渐近稳定性(LAS)性质。最后,通过仿真验证了该方法对逼近任务的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Geometric Controller for Fully-Actuated Robotic Capture of a Tumbling Target
In this paper, we investigate the task of approaching a rigid tumbling satellite (Target) with a fully-actuated manipulator-equipped spacecraft (Servicer). We consider a Servicer with an end-effector-mounted exteroceptive sensor for feedback of Target motion. This sensor, however, provides only a noisy relative pose (position and orientation) of the tumbling Target's grasping frame. For this time-varying scenario, we propose a novel method, which is a cascade interconnection of a geometric Extended Kalman Filter (EKF) observer and a geometric controller. The key idea is to estimate the unforced Target's full state-space with the proposed EKF, and then use these estimates in feed-forward and feedback terms of the control law, while exploiting the fully-actuated Servicer. This results in a cascade interconnection, for which we prove the Local Asymptotic Stability (LAS) property. Furthermore, the effectiveness of the proposed method for the approach task is demonstrated through simulation.
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