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Prediction of Spacecraft Motion According to a Stochastic Model based on Differential Transformations

机译:基于微分变换的随机模型对航天器运动的预测

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摘要

An approach to solving the prediction problem of near space vehicles motion according to a stochastic dynamic model of motion is presented. The model of spacecraft motion considers stochasticity of initial conditions and variations in atmospheric density. The prediction is carried out by a direct prediction method with the use of a numerical integration method developed on the basis of differential transformations. The paper also presents the implementation features of software and algorithmic support for the prediction.
机译:提出了一种基于运动随机动态模型的近空间飞行器运动预测问题的解决方法。航天器运动模型考虑了初始条件的随机性和大气密度的变化。通过直接预测方法进行预测,并使用基于微分变换开发的数值积分方法。本文还介绍了预测的软件实现和算法支持。

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