Please wait a minute...
空天防御  2021, Vol. 4 Issue (3): 1-9    
0
  智能技术空天防御应用专栏 本期目录 | 过刊浏览 | 高级检索 |
面向集群对抗的多弹协同目标分配模型与仿真分析
吴诗辉1, 贾军2, 鲍然2, 周宇1, 夏青元3
1. 空军工程大学 装备管理与无人机工程学院,陕西 西安 710051; 2. 上海机电工程研究所,上海 201109; 3.南京理工大学 计算机科学与工程学院,江苏 南京  210094
Cooperative Target Assignment Model and Simulation Analysis for Multiple Missiles Against Unmanned Aerial Vehicle Swarm
WU Shihui1, JIA Jun2, BAO Ran2, ZHOU Yu1, XIA Qingyuan3
1. Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an 710051, Shaanxi, China; 2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China; 3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
全文: PDF(1417 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 本文提出了一种面向集群对抗的多弹协同目标分配方法。首先,将每个导弹与每个目标进行两两组合,利用比例导引法,对各组合情况下的弹目遭遇效果进行仿真,得到弹目遭遇时的末速度差。然后,以分配方案末速度差之和最大为优化目标,以给定分配均匀度为约束条件,将该问题转化为带约束的非平衡任务分配问题,并利用0-1线性规划方法进行优化求解。优化求解时,对于最优分配方案进行轨迹交叉判断,若出现交叉,则对其中一条轨迹进行惩罚,重新优化,直到得到满足要求的最优化分配方案。仿真结果表明,该方法可在较短的时间内获得集群对抗的优化分配方案,能够有效完成对目标的集群打击任务。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
关键词 无人机集群多导弹非平衡指派模型目标分配轨迹交叉    
Abstract:In this paper, a cooperative target assignment algorithm for multiple missiles against unmanned aerial vehicle (UAV) swarms is proposed. First, each missile will intercept each UAV by simulation with proportional guidance law to obtain the final speed gap (FSG) when the missile and the UAV encounter. Then, taking the maximum sum of FSG of the assignment scheme as the optimization goal, and the giving maximum assigned missiles for a single target (MAM) as constraints, the problem is transformed to a non-equilibrium assignment problem with constraints, which can be solved by 0-1 linear programming. Meanwhile, a trajectory intersection judgement will be carried out for the optimum assignment scheme, and once trajectory intersection exists, one of the trajectories will be punished to avoid trajectory intersection, and the non-equilibrium assignment model will be modified and re-optimized until the optimum assignment scheme without trajectory intersection is obtained. Simulation results show that the proposed method can obtain the optimum assignment scheme for multiple missiles against UAV swarms in a short time, which can maximize the interception effects efficiently.
Key wordsUAV swarm    multiple missiles    non-equilibrium assignment model    target assignment    trajectory intersection
收稿日期: 2021-01-25      出版日期: 2021-09-06
ZTFLH:  TJ760  
基金资助:航天科技基金(SAST2019-007)
作者简介: 吴诗辉(1982—),男,博士,副教授,主要研究方向为仿真优化理论等。
引用本文:   
吴诗辉, 贾军, 鲍然, 周宇, 夏青元. 面向集群对抗的多弹协同目标分配模型与仿真分析[J]. 空天防御, 2021, 4(3): 1-9.
WU Shihui, JIA Jun, BAO Ran, ZHOU Yu, XIA Qingyuan. Cooperative Target Assignment Model and Simulation Analysis for Multiple Missiles Against Unmanned Aerial Vehicle Swarm. Air & Space Defense, 2021, 4(3): 1-9.
链接本文:  
https://www.qk.sjtu.edu.cn/ktfy/CN/      或      https://www.qk.sjtu.edu.cn/ktfy/CN/Y2021/V4/I3/1

参考文献
[1] 郭建国, 胡冠杰, 许新鹏, 刘悦, 曹晋. 基于强化学习的多对多拦截目标分配方法[J]. 空天防御, 2024, 7(1): 24-31.
[2] 龙腾, 刘震宇, 史人赫, 王生印. 基于神经网络的防空武器目标智能分配方法[J]. 空天防御, 2021, 4(1): 1-7.
[3] 赵建霞, 段海滨, 赵彦杰, 范彦铭, 魏晨. 基于鸽群层级交互的有人/无人机集群一致性控制[J]. 上海交通大学学报, 2020, 54(9): 973-980.
[4] 曹莉, 耿斌斌, 周亮, 高森. 无人机集群发射与回收技术发展研究[J]. 空天防御, 2019, 2(2): 68-72.
沪ICP备15013849号-1
版权所有 © 2017《空天防御》编辑部
主管单位:中国航天科技集团有限公司 主办单位:上海机电工程研究所 上海交通大学出版社有限公司