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兵工学报 ›› 2016, Vol. 37 ›› Issue (5): 936-944.doi: 10.3969/j.issn.1000-1093.2016.05.023

• 研究简报 • 上一篇    下一篇

非协同方式多微小型飞行器区域覆盖多目标的弹道建模与设计

都业宏1,2, 郁浩1, 张军1, 李杰2, 徐兴建2   

  1. (1.中国白城兵器试验中心, 吉林 白城 137001; 2.北京理工大学 机电学院, 北京 100081)
  • 收稿日期:2015-07-16 修回日期:2015-07-16 上线日期:2016-07-06
  • 通讯作者: 都业宏 E-mail:yehong_du@126.com
  • 作者简介:都业宏(1984—),男,工程师
  • 基金资助:
    总装备部预先研究项目(2014年)

Modeling and Design of Trajectory of Multi-MAVs for Coveraging Multi-targets in Non-cooperative Manner

DU Ye-hong1,2, YU Hao1, ZHANG Jun1, LI Jie2, XU Xing-jian2   

  1. (1.Baicheng Ordnance Test Center of China, Baicheng 137001, Jilin, China;2.School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2015-07-16 Revised:2015-07-16 Online:2016-07-06
  • Contact: DU Ye-hong E-mail:yehong_du@126.com

摘要: 为提高微小型飞行器(MAV)群对作战目标侦察攻击的适应能力,建立多MAV非协同方式区域覆盖多目标问题模型。应用云模型模拟MAV的起飞点坐标值,应用蒙特卡洛方法模拟起飞方向角度值,建立与问题模型相关的目标区域模型、MAV探测模型、起飞点模型、初始飞行方向模型和弹道模型。为提高优化设计效率,在对期望覆盖率指标进行了稳定性分析的基础上,确定计算期望覆盖率的最小模拟次数。应用多目标遗传算法对建立的多目标问题模型进行了求解,得到了非协同方式条件下多MAV区域覆盖的弹道设计方案。从MAV的探测半径与目标区域半径的比例关系出发,对这些方案适于解决的问题进行了分析。该弹道降低了MAV控制难度,兼顾了覆盖率、MAV数量和航程3个目标。

关键词: 兵器科学与技术, 非协同方式, 微小型飞行器, 区域覆盖, 弹道设计, 多目标优化

Abstract: To improve the adaptabilities of reconnaissance and attack of multi-MAVs, the trajectory of multi-MAVs for coveraging the multi-targets in non-cooperative manner is modeled. The take-off point coordinates of MAVs are simulated using cloud model, and the taking-off direction is simulated by Monte Carlo method. The target zone model, MAV detection model, take-off point model, flight direction model and trajectory model are established. To improve the efficiency of the optimization design, the minimum number of simulations is determined based on the stability analysis of the expected coverage. The multi-target problem is solved by MOGA, and the regional coverage trajectory of multi-MAVs in non-cooperative manner is determined. The problems that can be solved by the schemes are analyzed according to the ratio of detecting radius to target zone radius. The designed trajectories reduce difficulty in control, and take coverage, the number of MAVs and flying range of MAV into account.

Key words: ordnance science and technology, non-cooperative manner, MAV, regional coverage, trajectory design, multi-target optimization

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