Writing co-coverage method of UAV cluster formation based on group intelligence

Yutong Yin
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引用次数: 0

Abstract

According to the application of unmanned cluster cooperative sensing, planning and control in dynamic countermeasure environment, only the typical UAV cooperative countermeasure application scenarios are considered, and the UAV cluster electronic countermeasure software system for high-speed target interception is constructed. Unmanned aerial vehicle (UAV) cluster is equipped with low-power electronic jamming equipment, and realizes adaptive cooperative task assignment, route planning and proximity jamming of UAV according to cluster intelligent decentralized cooperative control model, thus forming the continuous interception capability of multiple random and high-speed invading targets in three-dimensional space, and realizing the security of our protected objects. The main research contents include software multi-agent modeling of UAV cluster, including: countermeasure environment model; Individual agent modeling of UAV (UAV state, countermeasure behavior, UAV observation, UAV countermeasure utility, etc.); Multi-agent modeling of UAV cluster (cluster cooperative utility target, cluster confrontation state and situation, etc.); Agent modeling of intrusion targets, etc. The construction of swarm intelligence-oriented cooperative countermeasure control algorithm for UAV cluster includes the design and implementation of swarm intelligence algorithms such as pheromone construction of UAV cluster, cooperative task assignment, individual route planning and electronic countermeasure behavior planning.
基于群智能的无人机集群编队协同覆盖方法研究
针对无人机集群协同感知、规划与控制在动态对抗环境中的应用,仅考虑典型的无人机协同对抗应用场景,构建了无人机集群高速目标拦截电子对抗软件系统。无人机集群配备低功耗电子干扰设备,根据集群智能分散协同控制模型,实现无人机自适应协同任务分配、航路规划和近距离干扰,从而形成对三维空间多个随机高速入侵目标的连续拦截能力,实现被保护对象的安全。主要研究内容包括无人机集群的软件多智能体建模,包括:对抗环境模型;无人机个体agent建模(无人机状态、对抗行为、无人机观测、无人机对抗效用等);无人机集群多智能体建模(集群协同效用目标、集群对抗状态与态势等)入侵目标的Agent建模等。面向群体智能的无人机集群协同对抗控制算法构建包括无人机集群信息素构建、协同任务分配、个体航路规划和电子对抗行为规划等群体智能算法的设计与实现。
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