电光与控制, 2016, 23 (4): 28, 网络出版: 2016-09-12  

面向多类型目标的多无人机协同搜索

Multi-UAV Cooperative Search Strategy for Diverse Types of Targets
作者单位
海军航空工程学院控制工程系,山东 烟台264001
摘要
搜索环境的复杂化使得多无人机(UAV)协同搜索需要面对各种类型的目标。针对各类型目标的运动特征,采用目标存在概率密度相关的搜索图方法,在考虑协同搜索问题特性基础上,建立合理的目标收益函数。采用集中式与分布式相结合的集散式控制框架,结合对搜索图的探测更新,通过预测控制及改进匈牙利算法进行多UAV的协同搜索决策。所用决策方法可在提高搜索效率的同时,有效避免多UAV间可能发生碰撞的问题。最后,通过与传统搜索方法进行仿真对比分析,验证了所提方法的有效性。
Abstract
In the complicated search environment,multi-UAV cooperative search mission may confront with diverse types of targets.Considering the motion features of different types of target,we used a search map method related to probability density function of the targets,and established a reward function appropriate to the coordinated task in order to improve the efficiency of cooperative search.The control architecture combining centralized with distributed control was used,and multi-UAV cooperative search decision making was implemented through predictive control and improved Hungarian algorithm.The decision-making method could improve the search efficiency while avoiding the possible collision of the UAVs.Finally,contradistinctive simulation results demonstrate the validity of the proposed cooperative search strategy.
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吴青坡, 周绍磊, 刘伟, 尹高扬. 面向多类型目标的多无人机协同搜索[J]. 电光与控制, 2016, 23(4): 28. WU Qing-po, ZHOU Shao-lei, LIU Wei, YIN Gao-yang. Multi-UAV Cooperative Search Strategy for Diverse Types of Targets[J]. Electronics Optics & Control, 2016, 23(4): 28.

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