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Analysis of spacecraft disposal solutions from LPO to the Moon with high order polynomial expansions

机译:具有高阶多项式展开的从LPO到月球的航天器处置解决方案的分析

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This paper presents the analysis of disposal trajectories from libration point orbits to the Moon under uncertainty. The paper proposes the use of polynomial chaos expansions to quantify the uncertainty in the final conditions given an uncertainty in initial conditions and disposal manoeuvre. The paper will compare the use of polynomial chaos expansions against high order Taylor expansions computed with point-wise integration of the partials of the dynamics, the use of the covariance matrix propagated using a unscented transformation and a standard Monte Carlo simulation. It will be shown that the use of the ellipsoid of uncertainty, that corresponds to the propagation of the covariance matrix with a first order Taylor expansions, is not adequate to correctly capture the dispersion of the trajectories that can intersect the Moon. Furthermore, it will be shown that polynomial chaos expansions better represent the distribution of the final states compared to Taylor expansions of equal order and are comparable to a full scale Monte Carlo simulations but at a fraction of the computational cost.
机译:本文提出了在不确定情况下从解放点轨道到月球的处置轨迹的分析。鉴于初始条件和处置策略的不确定性,本文提出了使用多项式混沌展开来量化最终条件下的不确定性。本文将比较使用多项式混沌展开式与通过动态部分的逐点积分计算的高阶泰勒展开式,使用无味变换传播的协方差矩阵和标准蒙特卡洛模拟的比较。将显示,使用不确定性的椭圆体(其对应于具有一阶泰勒展开的协方差矩阵的传播)不足以正确地捕获可能与月球相交的轨迹的分散。此外,将显示与等阶泰勒展开相比,多项式混沌展开更好地表示了最终状态的分布,并且与全面的蒙特卡洛模拟相当,但计算成本却很小。

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