Shape, Motion, and Parameter Estimation of Flexible Space Structures using Laser Rangefinders

M. Lichter, S. Dubowsky, H. Ueno, S. Mitani
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引用次数: 10

Abstract

Future space missions are expected to use robotic systems to assemble, inspect, and maintain large space structures in orbit. For effective planning and control, robots must know the deformations and motions of the structures with which they interact. This paper presents a method for estimating the shape, motion, and dynamic model parameters of a vibrating space structure using asynchronous raster-scanning range imagers. The method assumes that the mode shapes are approximately known a priori. A Kalman filter exploits a mechanics-based dynamic model to extract the modal frequencies and damping as well as the modal coefficients and their time rate of change. Theoretical development and experimental results using emulated space hardware are presented. Index Terms – space structure, laser rangefinder, shape estimation, motion estimation, cooperative sensing.
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基于激光测距仪的柔性空间结构的形状、运动和参数估计
未来的太空任务预计将使用机器人系统来组装、检查和维护轨道上的大型空间结构。为了进行有效的规划和控制,机器人必须知道与其相互作用的结构的变形和运动。本文提出了一种利用异步光栅扫描距离成像仪估计振动空间结构的形状、运动和动态模型参数的方法。该方法假定模态振型近似先验已知。卡尔曼滤波器利用基于力学的动态模型来提取模态频率和阻尼以及模态系数及其时间变化率。介绍了仿真空间硬件的理论发展和实验结果。索引术语-空间结构,激光测距仪,形状估计,运动估计,协同传感。
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