月面成分不确定条件下下降舱实时测量系统仿真

IF 0.2 Q4 PHYSICS, MULTIDISCIPLINARY
Irina A. Kislitsyna , Galina F. Malykhina
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引用次数: 2

摘要

提出了确定登月舱在月球表面离轨运动参数的测量方法。在月球土壤元素组成不确定的情况下,使用四个受体检测辐射源发出的表面散射伽马。该模块中的雷达跟踪系统可以使伽马射线高度计适应月球土壤成分。建立了测量系统的数学模型,得到了伽马流水平与模块高度和斜面角度的关系。该模型可以分析放射源与受体的相对位置以及底物的组成效应。该测量算法采用递归神经网络,并在着陆过程中进行预先训练和自适应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of an on-the-fly measuring system of a descent module under uncertainty of the lunar-surface composition

The measurement method for determining the motion parameters of the module de-orbiting upon the lunar surface has been suggested. The surface-scattered gammas emitted by a radioactive source are detected using four receptors under uncertainty of the lunar soil's elemental composition. The radar-tracking system in the module allows adapting the gamma-ray altimeter to the lunar-soil composition. A mathematical model of the measuring system has been put forward, and dependences of the gamma flux level on the module altitude and the angle of the slanted surface were obtained. The model makes it possible to analyze the relative position of the radioactive source and the receptors and the composition effect of the substrate. The measurement algorithm uses a recursive neural network, which is proposed to be trained in advance and adapted during the module landing.

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