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Attitude Sensor from Ellipsoid Observations: A Numerical and Experimental Validation

机译:来自椭球观测的态度传感器:数值和实验验证

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摘要

The preliminary design and validation of a novel, high accuracy horizon-sensor for small satellites is presented, which is based on the theory of attitude determination from ellipsoid observations. The concept consists of a multi-head infrared sensor capturing images of the Earth limb. By fitting an ellipse to the imaged limb arcs, and exploiting some analytical results available from projective geometry, a closed form solution for computing the attitude matrix is provided. The algorithm is developed in a dimensionless framework, requiring the knowledge of the shape of the imaged target, but not of its size. As a result, the solution is less sensitive to the limb shift caused by the atmospheric own radiance. To evaluate the performance of the proposed method, a numerical simulator is developed, which generates images captured in low Earth orbit, including also the presence of the atmosphere. In addition, experimental validation is provided due to a dedicated testbed, making use of a miniature infrared camera. Results show that our sensor concept returns rms errors of few hundredths of a degree or less in determining the local nadir direction.
机译:提出了一种小型卫星新颖,高精度地平线传感器的初步设计和验证,基于来自椭球观察的姿态测定理论。该概念包括一个多头红外传感器捕获地球肢体的图像。通过将椭圆拟合到成像的肢体弧,并利用从投影几何中获得的一些分析结果,提供了一种用于计算姿态矩阵的封闭式解决方案。该算法是在无量纲框架中开发的,需要了解成像目标的形状,但不是其尺寸。结果,该解决方案对由大气自身光泽引起的肢体偏移敏感。为了评估所提出的方法的性能,开发了一种数值模拟器,该模拟器产生在低地球轨道中捕获的图像,包括大气的存在。此外,由于专用测试平台提供了实验验证,使用了微型红外相机。结果表明,我们的传感器概念在确定本地NADIR方向时返回几百万度或更少的RMS误差。

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