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Eclipse Prediction Algorithms for Low-Earth-Orbiting Satellites

机译:低地球轨道卫星的Eclipse预测算法

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摘要

Earth-orbiting satellites experience a partial or full eclipse when they pass through the night side of the Earth. These eclipse events can have significant impacts on the satellite due to the dramatic change of the solar radiation incident. It is therefore essential to propose a high-precision eclipse prediction algorithm or even a space-borne algorithm applied to the satellite to predict the eclipse events autonomously. This paper proposes two eclipse prediction algorithms based on an atypical eclipse condition. The first is the numerical variable-step algorithm whose computation efficiency is superior to the previous fixed-step algorithm due to adopting multiscale step sizes. The other is the autonomous space-borne algorithm, which, based on the analytical solution of the eclipse condition, predicts the penumbra and umbra. Both algorithms have been implemented to the Sun-synchronous orbit and the prediction results are compared with that of the Satellite Tool Kit software. It is indicated that the numerical variable-step algorithm is of high prediction accuracy, whereas the autonomous space-borne algorithm is more suitable for the on-board processor to predict the eclipse due to its reduced computational demands.
机译:绕地球运行的卫星穿过地球的夜面时会经历部分或全部的月食。由于太阳辐射入射的急剧变化,这些日食事件可能会对卫星产生重大影响。因此,有必要提出一种高精度的日食预测算法,或者甚至将星载算法应用于卫星,以自主地预测日食事件。本文提出了两种基于非典型月食的月食预测算法。第一种是数值可变步长算法,由于采用多尺度步长,其计算效率优于以前的固定步长算法。另一个是自主的星载算法,该算法基于日食条件的解析解来预测半影和本影。两种算法均已实现到太阳同步轨道,并将预测结果与Satellite Tool Kit软件的预测结果进行了比较。结果表明,数值变步长算法具有较高的预测精度,而自主星载算法由于其减少的计算需求,更适合车载处理器预测日食。

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