计算机科学
弹道
可扩展性
控制器(灌溉)
跟踪(教育)
控制理论(社会学)
边界(拓扑)
集合(抽象数据类型)
运动规划
磁道(磁盘驱动器)
路径(计算)
碰撞
避碰
质心
实时计算
控制(管理)
模拟
人工智能
机器人
物理
数学
程序设计语言
生物
数学分析
操作系统
天文
数据库
计算机安全
教育学
心理学
农学
作者
John Hartley,Hubert P. H. Shum,Edmond S. L. Ho,He Wang,Subramanian Ramamoorthy
标识
DOI:10.1016/j.eswa.2022.117665
摘要
Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is required at all times. Such coverage plays a critical role in many real-world applications such as tracking hostile UAVs. This paper proposes a new path planning approach called the Flux Guided (FG) method, which generates collision-free trajectories for multiple UAVs while maximising the coverage of target(s). Our method enables UAVs to track directly toward a target whilst maintaining maximum coverage. Furthermore, multiple scattered targets can be tracked by scaling the formation during flight. FG is highly scalable since it only requires communication between sub-set of UAVs on the open boundary of the formation's surface. Experimental results further validate that FG generates UAV trajectories 1.5× shorter than previous work and that trajectory planning for 9 leader/follower UAVs to surround a target in two different scenarios only requires 0.52 s and 0.88 s, respectively. The resulting trajectories are suitable for robotic controls after time-optimal parameterisation; we demonstrate this using a 3d dynamic particle system that tracks the desired trajectories using a PID controller.
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