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ExoMars 2016 Schiaparelli Module Trajectory and Atmospheric Profiles Reconstruction Analysis of the On-board Inertial and Radar Measurements

机译:Exomars 2016 Schiaparelli模块轨迹和大气配置文件的惯性和雷达测量的重建分析

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摘要

On 19~(th) October 2016 Schiaparelli module of the ExoMars 2016 mission flew through the Mars atmosphere. After successful entry and descent under parachute, the module failed the last part of the descent and crashed on the Mars surface. Nevertheless the data transmitted in real-time by Schiaparelli during the entry and descent, together with the entry state vector as initial condition, have been used to reconstruct both the trajectory and the profiles of atmospheric density, pressure and temperature along the traversed path. The available data-set is only a small sub-set of the whole data acquired by Schiaparelli, with a limited data rate (8 kbps) and a large gap during the entry because of the plasma blackout on the communications. This paper presents the work done by the AMELIA (Atmospheric Mars Entry and Landing Investigations and Analysis) team in the exploitation of the available inertial and radar data. First a reference trajectory is derived by direct integration of the inertial measurements and a strategy to overcome the entry data gap is proposed. First-order covariance analysis is used to estimate the uncertainties on all the derived parameters. Then a refined trajectory is computed incorporating the measurements provided by the on-board radar altimeter. The derived trajectory is consistent with the events reported in the telemetry and also with the impact point identified on the high-resolution images of the landing site. Finally, atmospheric profiles are computed tacking into account the aerodynamic properties of the module. Derived profiles result in good agreement with both atmospheric models and available remote sensing observations.
机译:19〜(Th)2016年10月的Schiaparelli模块的exoMars 2016年任务飞过火星氛围。在成功进入和下降到降落伞下,模块失败了下降的最后一部分并在火星表面上坠毁。然而,在进入和下降期间,Schiaparelli在进入状态向量中与初始条件一起通过Schiaparelli进行的数据用于重建轨迹和沿着穿过路径的大气密度,压力和温度的曲线。可用数据集只是Schiaparelli获取的整个数据的小子集,由于通信上的等离子停电,在条目期间具有有限的数据速率(8 kbps)和大的差距。本文介绍了Amelia(大气火星入学和着陆调查和分析)团队在开发可用惯性和雷达数据的工作中所做的工作。首先,通过直接集成惯性测量来导出参考轨迹,并提出了克服进入数据间隙的策略。一阶协方差分析用于估计所有派生参数的不确定性。然后计算通过板载雷达高度计提供的测量来计算精细的轨迹。派生的轨迹与遥测中报告的事件一致,并且还与着陆站点的高分辨率图像上识别的冲击点。最后,计算大气配置文件,以考虑模块的空气动力学特性。派生配置文件与大气模型以及可用的遥感观察结果良好。

著录项

  • 来源
    《Space Science Reviews》 |2018年第5期|共31页
  • 作者单位

    CISAS Giuseppe Colombo University of Padova Via Venezia 15 35131 Padova Italy;

    CISAS Giuseppe Colombo University of Padova Via Venezia 15 35131 Padova Italy;

    CISAS Giuseppe Colombo University of Padova Via Venezia 15 35131 Padova Italy;

    CISAS Giuseppe Colombo University of Padova Via Venezia 15 35131 Padova Italy;

    The Open University Walton Hall Kents Hill Milton Keyness MK7 6AA UK;

    Royal Observatory of Belgium Ringlaan 3 1180 Brussels Belgium;

    Royal Observatory of Belgium Ringlaan 3 1180 Brussels Belgium;

    CISAS Giuseppe Colombo University of Padova Via Venezia 15 35131 Padova Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空;
  • 关键词

    Mars atmosphere; Entry probe; Data assimilation;

    机译:火星氛围;进入探针;数据同化;

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