Volume 45 Issue 10
Oct.  2019
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LIU Yibo, SHEN Zuojun, ZHANG Xiangyuet al. A method for range reference atmospheric density modeling and application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(10): 2079-2088. doi: 10.13700/j.bh.1001-5965.2019.0057(in Chinese)
Citation: LIU Yibo, SHEN Zuojun, ZHANG Xiangyuet al. A method for range reference atmospheric density modeling and application[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(10): 2079-2088. doi: 10.13700/j.bh.1001-5965.2019.0057(in Chinese)

A method for range reference atmospheric density modeling and application

doi: 10.13700/j.bh.1001-5965.2019.0057
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  • Corresponding author: SHEN Zuojun, E-mail:09433@buaa.edu.cn
  • Received Date: 21 Feb 2019
  • Accepted Date: 30 Mar 2019
  • Publish Date: 20 Oct 2019
  • 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.

     

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