无人机集群面向岛礁反登陆任务搜索算法研究  

Research on the search algorithm of UAV swarm for reef anti-landing missions

作　　者：袁家琦 李哲[2] 王宁[2] 任宝祥[2] YUAN Jiaqi;LI Zhe;WANC Ning;REN Baoxiang(95510 Troops of the PLA,Guiyang 550000,China;Air Force Engineering University,Xi'an 710051,China)

机构地区：[1]中国人民解放军95510部队,贵州贵阳550000 [2]空军工程大学,陕西西安710051

出　　处：《飞行力学》2023年第2期54-63,共10页Flight Dynamics

基　　金：国家自然科学基金资助(61703427)。

摘　　要：为提高无人机集群面向岛礁反登陆作战中对运动登陆舰艇的协同搜索效能,提出一种以目标存在概率和覆盖率为引导的无人机集群海上协同搜索算法。首先,建立环境地图矩阵描述不规则任务区域的栅格状态,进而设计环境地图更新算符实现环境地图快速更新;其次,建立不确定度地图和目标存在概率地图及其更新机制,使无人机集群兼顾区域覆盖和动目标搜索任务;最后,构建环境信息交互决策机制,减少决策计算量,提升系统鲁棒性和协同搜索效能。仿真结果表明,相比其他动目标搜索方法,所提算法在目标捕获数和区域覆盖率方面,均具有更佳表现。To improve the cooperative search effectiveness of UAV swarm for island-oriented antilanding operation against moving landing ships,a cooperative maritime search algorithm for UAV swarm guided by the probability of target existence and coverage is proposed.Firstly,an environment map matrix was established to describe the raster state of the irregular mission area,and then an environment map update operator was designed to realize the fast update of the environment map.Secondly,the uncertainty map,target existence probability map and their update mechanisms were established to enable the UAV swarm to combine area coverage and moving target search tasks.Finally,an interactive decision mechanism for environmental information was constructed to reduce the decision computation,improve the system robustness and cooperative search effectiveness.The simulation results show that the proposed algorithm has better performance in terms of target capture number and area coverage than other moving target search methods.

关 键 词：无人机集群 信息交互 协同搜索 概率图 

分 类 号：V279[航空宇航科学与技术—飞行器设计] V249.1