系统仿真学报 ›› 2018, Vol. 30 ›› Issue (3): 1056-1062.doi: 10.16182/j.issn1004731x.joss.201803036

• 仿真应用工程 • 上一篇    下一篇

导弹外头罩分离及落区预测仿真

田浩1, 穆洲2, 李慧通3, 赵阳1   

  1. 1.哈尔滨工业大学航天学院,哈尔滨 150001;
    2.北京宇航系统工程研究所,北京 100076;
    3.北京机械设备研究所,北京 100854
  • 收稿日期:2016-04-11 出版日期:2018-03-08 发布日期:2019-01-02
  • 作者简介:田浩(1968-), 男, 湖北宜昌, 硕士, 副教授,研究方向为多柔体动力学; 穆洲(1973-), 男, 山东青岛, 高工, 硕士, 研究方向为飞行器设计; 李慧通(1988-), 男, 山东嘉祥, 博士, 研究方向为飞行器设计与仿真。
  • 基金资助:
    国家973计划(2013CB733004)

Simulation of Missile Head Cover Separation and Landing Locations

Tian Hao1, Mu Zhou2, Li Huitong3, Zhao Yang1   

  1. 1.School of Astronautics, Harbin Institute of Technology, Harbin 150001, China;
    2.Beijing Institute of Aerospace Systems Engineering, Beijing 100076, China;
    3.Beijing Institute of Mechanical Equipment, Beijing 100854, China
  • Received:2016-04-11 Online:2018-03-08 Published:2019-01-02

摘要: 某些型号导弹发射过程中使用外头罩对内部设备进行保护,为了防止分离后外头罩砸伤工作人员或者相关设备,需要预测外头罩的落地位置范围,并采取相应的防护措施。针对某型导弹外头罩分离系统,在研究固体燃气发生器和正推火箭的外头罩分离方案基础上,建立了外头罩分离过程和坠落过程的动力学模型。采用蒙特卡洛打靶技术,经仿真计算,得到外头罩坠落过程的运动曲线和落点位置的分布范围。本文仿真结果能够为发射装置及人员防护设计提供技术支持。

关键词: 导弹, 导弹外头罩分离系统, 动力学模型, 蒙特卡洛打靶法

Abstract: Some missiles use head cover to protect the internal equipment during the launching process. In order to prevent the head cover from damaging the people or equipment after separation, researchers need to predict the landing position range and take protective measures. This paper designs a separation scheme for a missile head cover separation based on solid propellant gas generator and solid rocket. In this study, we establish a dynamic simulation model of head cover separation and falling procedure. The simulation calculation of the head cover location range considering multiple factors using Monte-Carlo method is developed. And the motional curve of separation bodies and the danger zone of head cover landing location are obtained. The simulation results in this paper will provide technical support for rocket launcher and personnel protection design.

Key words: missile, head cover separation system, dynamic model, Monte-Carlo method

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