基于社会化协同的无人机集群目标合围控制OA
Target Enclosing Control of Unmanned Aerial Vehicle Swarm Based on Socialized Collaboration
面向感知、通信受限且存在环境障碍的移动目标合围控制,提出一种基于社会化协同的控制策略.首先,借鉴生物集群社会化行为,构建协同响应模型与层级交互机制;在拓扑切换与丢包条件下,显式建模受限信息流,以驱动集群实现目标合围.其次,提出强引导式任务——避碰并行协同控制,在优先保障飞行安全的前提下实现鲁棒合围控制.再次,设计一致性目标状态观测器,对目标位置与速度进行稳健估计.最后,仿真结果表明,所提方法在障碍环境以及感知、通信受限条件下能够实现稳定合围,并表现出较好的鲁棒性.
A socialized collaboration-based control strategy is proposed for mobile-target enclosing under percep-tion and communication constraints in the presence of environmental obstacles.First,inspired by socialized behavi-ors in biological swarms,a cooperative response model and a hierarchical interaction mechanism are established;un-der topology switching and packet-loss conditions,the constrained information flow is explicitly modeled to drive the swarm to achieve target enclosing.Second,a strongly guided task——Collision-avoidance parallel cooperative control scheme is proposed to realize robust enclosing control while prioritizing flight safety.Third,a consensus-based target-state observer is designed to robustly estimate the target position and velocity.Finally,simulation res-ults demonstrate that the proposed method can achieve stable encirclement in obstacle-laden environments under perception and communication constraints,exhibiting favorable robustness.
彭雅兰;段海滨;范彦铭;李明
北京航空航天大学自动化科学与电气工程学院飞行器一体化控制全国重点实验室 北京 100083北京航空航天大学自动化科学与电气工程学院飞行器一体化控制全国重点实验室 北京 100083中国航空工业集团公司沈阳飞机设计研究所 沈阳 110035中国航空工业集团公司沈阳飞机设计研究所 沈阳 110035
无人机目标合围社会化协同层级交互感知能力受限
unmanned aerial vehicletarget enclosingsocialized collaborationhierarchical interactionlimited per-ception capability
《自动化学报》 2026 (2)
284-295,12
国家自然科学基金(62350048,U2541218,T2121003)资助Supported by National Natural Science Foundation of China(62350048,U2541218,T2121003)
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