| 注册
首页|期刊导航|国防科技大学学报|返回器飞行管道的快速预测算法

返回器飞行管道的快速预测算法

邹文 张国斌 丰志伟 涂国勇 禄晓飞 张青斌 杨涛

国防科技大学学报2024,Vol.46Issue(1):22-31,10.
国防科技大学学报2024,Vol.46Issue(1):22-31,10.DOI:10.11887/j.cn.202401003

返回器飞行管道的快速预测算法

Fast prediction algorithm of flight pipeline of reentry capsule

邹文 1张国斌 2丰志伟 2涂国勇 3禄晓飞 3张青斌 2杨涛2

作者信息

  • 1. 国防科技大学 空天科学学院,湖南 长沙 410073||湖南工商大学 计算机学院,湖南 长沙 410205
  • 2. 国防科技大学 空天科学学院,湖南 长沙 410073
  • 3. 中国人民解放军63620 部队,甘肃 酒泉 732750
  • 折叠

摘要

Abstract

To meet the computational requirements of safe airspace and the expected landing point in the recovery mission of the reentry capsule,a fast prediction algorithm of the flight pipeline based on the Koopman operator approach was proposed for the reentry capsule and the determination process for safe flight airspace of search and rescue helicopters was provided.The body-parachute dynamic model was constructed.A group of discrete state points was uniformly selected from the random state space by using the Halton sampling method,and the multiple possible trajectory was calculated.Based on the back pulling mechanism of Koopman operator,the initial probability density value was associated with the current state to obtain the flight pipeline and desired trajectory of the reentry capsule and its separation parts under uncertain conditions.The simulation results show that the fast prediction algorithm of the flight pipeline based on the Koopman operator approach is significantly better than the Monte Carlo method in terms of convergence speed and accuracy.After using the flight pipeline calculation results to plan the flight route of the rescue helicopter,the collision risk is reduced by 54%at most and the corresponding search time is reduced by 70%.The proposed algorithm has been successfully applied to the Chang'e-5 recovery mission.

关键词

降落伞回收技术/不确定性分析/Koopman算子/返回器/探月任务

Key words

parachute recovery technology/uncertainty analysis/Koopman operator/reentry capsule/lunar missions

引用本文复制引用

邹文,张国斌,丰志伟,涂国勇,禄晓飞,张青斌,杨涛..返回器飞行管道的快速预测算法[J].国防科技大学学报,2024,46(1):22-31,10.

基金项目

国家自然科学基金资助项目(11902331) (11902331)

国防科技大学学报

OACSTPCD

1001-2486

访问量0
|
下载量0
段落导航相关论文