北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (10): 2079-2088.doi: 10.13700/j.bh.1001-5965.2019.0057

• 论文 • 上一篇    下一篇

一种区域参考大气密度的建模与应用方法

刘一博, 沈作军, 张向宇   

  1. 北京航空航天大学 航空科学与工程学院, 北京 100083
  • 收稿日期:2019-02-21 出版日期:2019-10-20 发布日期:2019-10-31
  • 通讯作者: 沈作军 E-mail:09433@buaa.edu.cn
  • 作者简介:刘一博 男,硕士研究生。主要研究方向:空天飞行器制导与控制、空天飞行器不确定性评估;沈作军 男,博士,教授。主要研究方向:飞行力学、制导技术与飞行控制、最优控制、轨迹优化;张向宇 男,硕士研究生。主要研究方向:空天飞行器仿真环境建模、空天飞行器不确定性评估。

A method for range reference atmospheric density modeling and application

LIU Yibo, SHEN Zuojun, ZHANG Xiangyu   

  1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100083, China
  • Received:2019-02-21 Online:2019-10-20 Published:2019-10-31

摘要: 为满足空天试验研究中对参考大气模型的实际需求,即模型应具有跨时空的全球尺度覆盖性以及在起降关键航迹点的高精度性,提出了一种区域参考大气密度的建模与应用方法。首先对实测数据的冬夏季典型月份的大气密度特性,具体包括月均值与密度扰动进行统计分析,在此基础上提出了基于探空试验实测数据的全球参考大气模型(GRAM)的定量修正方法,从而构建起了包含有大气扰动与季节变化的区域参考大气密度模型。最后提出了区域参考大气密度模型向GRAM的过渡方法与实际应用方法。研究表明,探测地区的大气密度特性具有明显的冬夏季节性差异,需要根据季节构建相应的大气密度模型。区域参考大气模型的蒙特卡罗仿真可以有效模拟实测数据的大气密度特性。通过与GRAM过渡结合,参考大气模型既具有全球覆盖性,又具有很高的局部精度。

关键词: 探空试验, 大气密度, 空天应用, 建模, 仿真

Abstract: To meet the requirement of reference atmospheric model in aerospace application, that is, the model should have global scale coverage across seasons and space, and high accuracy of key trajectory points, such as the range for takeoff and landing, a method for modeling and application of range reference atmospheric density is proposed. First, the characteristics of atmospheric density in typical months of winter and summer, including monthly mean and density perturbation, are analyzed. On this basis, a quantitative correction method of the global reference atmosphere model (GRAM) based on sounding measurement is proposed in this paper. Then, the range reference atmospheric density model with atmospheric perturbation and seasonal variation is constructed. Finally, the transition method and application method for the transition from the range reference atmospheric density model to GRAM are proposed. The simulation results show that the atmospheric density characteristics of the measured area have obvious seasonal differences in winter and summer, and the atmospheric density model should be built according to the season. The results of Monte Carlo simulation of the range reference atmospheric model show that it can effectively simulate the atmospheric density characteristics of the measured data. Combined with GRAM transition, the reference atmosphere model has both global coverage and high range accuracy.

Key words: sounding measurement, atmospheric density, aerospace application, modeling, simulation

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