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Planetary Probe Entry Atmosphere Estimation Using Synthetic Air Data System

机译:利用合成空气数据系统估算行星探测器进入大气

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摘要

This paper develops an atmospheric state estimator based on inertial acceleration and angular rate measurements combined with a vehicle aerodynamic model. The approach uses the navigation state of the vehicle to recast the vehicle aerodynamic model to be a function solely of the atmospheric state. Force and moment measurements are based on vehicle sensed accelerations and angular rates. These measurements are combined with an aerodynamic model and a Kalman-Schmidt filter to estimate the atmospheric conditions. The method is applied to data from the Mars Science Laboratory mission, which landed the Curiosity rover on the surface of Mars in August 2012. The results of the estimation algorithm are compared with results from a flush air data sensing algorithm based on onboard pressure measurements on the vehicle forebody. The comparison indicates that the proposed method provides estimates consistent with the air data measurements, without the use of pressure transducers. Implications for future missions such as the Mars 2020 entry capsule are described.
机译:本文基于惯性加速度和角速率测量并结合车辆空气动力学模型,开发了一种大气状态估计器。该方法使用车辆的导航状态来将车辆空气动力学模型改型为仅是大气状态的函数。力和力矩的测量基于车辆感应到的加速度和角速度。这些测量结果与空气动力学模型和卡尔曼-施密特滤波器结合在一起以估计大气条件。该方法适用于来自火星科学实验室任务的数据,该任务于2012年8月将“好奇号”火星车降落在火星表面。将估算算法的结果与基于机载压力测量的冲洗空气数据传感算法的结果进行了比较。车辆前身。比较表明,所建议的方法无需使用压力传感器即可提供与空气数据测量结果一致的估计值。描述了对未来任务的影响,例如“火星2020”进入太空舱。

著录项

  • 来源
    《Journal of Spacecraft and Rockets》 |2018年第3期|599-610|共12页
  • 作者单位

    Analyt Mech Associates Inc, 21 Enterprise Pkwy,Suite 300, Hampton, VA 23666 USA;

    NASA, Langley Res Ctr, Atmospher Flight & Entry Syst Branch, Mail Stop 489, Hampton, VA 23681 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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