MF-1飞行试验弹道差异分析及弹道重建研究

和争春; 肖涵山; 袁先旭; 何开锋

doi:10.7638/kqdlxxb-2018.0065

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

MF-1飞行试验弹道差异分析及弹道重建研究

研究论文 | 更新时间：2026-05-28

- MF-1飞行试验弹道差异分析及弹道重建研究
- Flight trajectory bias analysis and trajectory reconstruction for MF-1 flight test
- 空气动力学学报 2019年37卷第5期页码：777-784
- 作者机构：
  
  1. 空气动力学国家重点实验室,绵阳,621000
  2. 中国空气动力研究与发展中心,绵阳,621000
- 作者简介：
  
  和争春(1973-), 男, 陕西礼泉人, 研究员, 博士, 研究方向:飞行器设计, 弹道设计与制导, 飞行性能仿真评估, 气动力参数辨识等.E-mail:hezhengchun@cardc.cn
- 基金信息：
- DOI：10.7638/kqdlxxb-2018.0065
  中图分类号： V211.3
- 纸质出版：2019
- 稿件说明：
移动端阅览
和争春, 肖涵山, 袁先旭, 何开锋. MF-1飞行试验弹道差异分析及弹道重建研究[J]. 空气动力学学报, 2019, 37(5): 777-784.

HE Zhengchun, XIAO Hanshan, YUAN Xianxu, et al. Flight trajectory bias analysis and trajectory reconstruction for MF-1 flight test[J]. 2019, 37(5): 777-784.
和争春, 肖涵山, 袁先旭, 何开锋. MF-1飞行试验弹道差异分析及弹道重建研究[J]. 空气动力学学报, 2019, 37(5): 777-784. DOI： 10.7638/kqdlxxb-2018.0065.

HE Zhengchun, XIAO Hanshan, YUAN Xianxu, et al. Flight trajectory bias analysis and trajectory reconstruction for MF-1 flight test[J]. 2019, 37(5): 777-784. DOI： 10.7638/kqdlxxb-2018.0065.

摘要

MF-1作为我国的首次高超声速空气动力学基础问题研究模型飞行试验项目，真实飞行取得了圆满成功。但是其无控飞行弹道与设计弹道之间还是存在较明显偏差，本文首先对于MF-1实际飞行试验弹道与设计弹道之间的偏差原因，通过理论分析和弹道仿真开展了研究，结果表明风场偏差和气动力偏差可能是导致MF-1飞行弹道与设计弹道差异的最主要因素。然后，基于飞行实测的过载角速率数据和外弹道测量数据对MF-1飞行弹道进行了重建，得到了包括迎角、侧滑角在内的完整可靠的弹道数据。研究还表明，风场对迎角、侧滑角的准确估计有显著影响，应尽量提高风场测量的实时性和准确性。

Abstract

As the first modeling flight test in China aiming at fundamental hypersonic aerodynamics problems

the real flight of MF-1 is absolutely successful

but there are also some differences between designed trajectory and real uncontrolled flight trajectory. In this paper

the cause of trajectory bias between flight test and preflight design is studied by theoretical analysis and flight simulations firstly. Results show that

wind distribution measurement errors and predicted aerodynamic errors should be the main reasons for that trajectory bias. Then

the flight trajectory of the MF-1 is reconstructed using flight overload and angular rate data

and the whole flight trajectory data including angle of attack and angle of slide are obtained. It is also shown that

the wind measurement has significant effects to the accurate estimation of angle of attack and angle of slide if there is no direct measure of flow angle.

关键词

Keywords

references

ZHANG S Y. Modeling free flight[M]. Beijing:National Defense Industry Press, 2002. (in Chinese)

ZHAN P G. An overview of American aerodynamic flight testbeds[J]. Flight Dynamics, 2015, 33(5):385-389. (in Chinese)

YE L. A review of American aerodynamic flight test platform[J]. Aerodynamic Missile Journal, 2008(12):20-24. (in Chinese)

HE Z C, CHE J, XIAO H S, et al. Trajectory design and Monte Carlo flight simulation for MF-1[J]. Acta Aerodynamica Sinica, 2019, 37(2):201-206. (in Chinese)

OU C, JI H L, XIAO H S, et al. Key problems in structure and thermal protection for MF-1 model testing flight vehicle[J]. Acta Aerodynamica Sinica, 2017, 35(5):742-749. (in Chinese)

HE Z C. Research on aerodynamic parameters identification and related problems for spaceship re-entry capsule[D]. Xi'an: Northwestern Polytechnical University, 2004. (in Chinese)

WANG Q, HE Z C, FANG F, et al. Trajectory reconstruction and black-out-area trajectory makeup for reentry capsules of spacecraft[J]. Journal of Astronautics, 2004(6):595-599. (in Chinese)

MULDER J A, CHU Q P, SRIDHAR J K, et al. Non-linear aircraft flight path reconstruction review and new advances[J]. Progress in Aerospace Science, 1999, 35:673-726.

GERLACH O H. Analysis of apossible method for the measurement of performance and stability and control characteristics in non-steady symmetrical flight[R]. Report VTH-117, Delft University of Technology, Department of Aerospace engineering, 1963.

JONKERS H L. Application of Kalman filter to flight path reconstruction from test data including estimation of instrumental bias error corrections[R]. Report VTH-162, Delft University of Technology, Department of Aerospace engineering, 1976.

CAI J S. System identification of flight vehicles[M]. Beijing:National Defense Industry Press, 2003. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向飞行试验认知不确定性的气动数据融合方法

高速空气动力学三大手段数据融合研究进展

超声速飞行器声爆飞行试验与声爆预测评估

面向飞行试验的多源气动数据智能融合方法

红外热像边界层转捩探测的飞行试验应用研究