自动驾驶仪
航向(导航)
固定翼
控制理论(社会学)
理论(学习稳定性)
软件
半实物仿真
翼
李雅普诺夫函数
弹道
计算机科学
遥控水下航行器
控制工程
循环(图论)
工程类
航空航天工程
数学
控制(管理)
人工智能
非线性系统
物理
移动机器人
机器学习
量子力学
天文
组合数学
机器人
程序设计语言
作者
Ximan Wang,Simone Baldi,Xuewei Feng,Changwei Wu,Hongwei Xie,Bart De Schutter
标识
DOI:10.1109/tase.2022.3144672
摘要
The vector field method was originally proposed to guide a single fixed-wing Unmanned Aerial Vehicle (UAV) towards a desired path. In this work, a non-uniform vector field method is proposed that changes in both magnitude and direction, for the purpose of achieving formations of UAVs. As compared to related work in the literature, the proposed formation control law does not need to assume absence of wind. That is, due to the effect of the wind on the UAV, one can handle the UAV air speed being different from its ground speed, and the UAV heading angle being different from its course angle. Stability of the proposed formation method is analyzed via Lyapunov stability theory, and validations are carried out in software-in-the-loop and hardware-in-the-loop comparative experiments. Note to Practitioners—The software-in-the-loop and hardware-in-the-loop experiments, which are done with PX4 autopilot software and hardware, show that the proposed method can be implemented on board of UAVs and integrated with the control architecture of existing autopilot suites. Comparisons with standard formation algorithms show that the proposed method is effective in achieving formation in different path scenarios.
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