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作 者:Xu Jing
机构地区:[1]Xi’an International University,Xi’an,People’s Republic of China
出 处:《Journal of Control and Decision》2024年第1期26-35,共10页控制与决策学报(英文)
基 金:the project of“13th five year plan”of educational science of Shaanxi Province in 2020.Project Name:Practical research on the cultivation of innovative talents of new engineering based on PBL mode.Project number:SGH20Y1420;the project of Natural science research program of Shanxi Province.Project Name:Re-search on Key Technologies of UAV adaptive scene matching visual navigation system.Project Name:2020JM-637.
摘 要:The combat tasks faced by UAVs are becoming more and more complex.Traditional single UAVs are limited by the constraints of platform load capacity,lightweight load,and insufficient lowpower equipment,so it is difficult to complete complex tasks independently.Aiming at typical UAV collaborative confrontation application scenarios,this paper constructs a multi-agentoriented cluster collaborative intelligent system architecture and establishes a swarm-oriented intelligent UAV cluster collaborative control algorithm.Moreover,this paper forms a simulation environment for UAV cluster collaborative confrontation and completes the design and implementation of the UAV cluster collaborative confrontation system based on swarm intelligence.In addition,this paper analyses the key technologies of the UAV cluster collaborative system with the support of the Internet of Things technology and verifies the performance of the system after constructing the corresponding system.The experimental results show that the system constructed in this paper is effective.
关 键 词:Internet of Things UAV cluster collaborative control key technology
分 类 号:TP391.44[自动化与计算机技术—计算机应用技术]
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