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A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles

机译:固定翼无人飞行器制导与编队的半物理平台

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摘要

Unmanned Aerial Vehicles (UAVs) have multi-domain applications, fixed-wing UAVs being a widely used class. Despite the ongoing research on the topics of guidance and formation control of fixed-wing UAVs, little progress is known on implementation of semi-physical validation platforms (software-in-the-loop or hardware-in-the-loop) for such complex autonomous systems. A semi-physical simulation platform should capture not only the physical aspects of UAV dynamics, but also the cybernetics aspects such as the autopilot and the communication layers connecting the different components. Such a cyber-physical integration would allow validation of guidance and formation control algorithms in the presence of uncertainties, unmodelled dynamics, low-level control loops, communication protocols and unreliable communication: These aspects are often neglected in the design of guidance and formation control laws for fixed-wing UAVs. This paper describes the development of a semi-physical platform for multi-fixed wing UAVs where all the aforementioned points are carefully integrated. The environment adopts Raspberry Pi’s programmed in C++, which can be interfaced to standard autopilots (PX4) as a companion computer. Simulations are done in a distributed setting with a server program designed for the purpose of routing data between nodes, handling the user inputs and configurations of the UAVs. Gazebo-ROS is used as a 3D visualization tool.
机译:无人机(UAV)具有多领域应用,固定翼无人机是被广泛使用的类别。尽管目前正在进行有关固定翼无人机的制导和编队控制主题的研究,但对于此类复杂系统的半物理验证平台(软件在环或硬件在环)的实施进展甚微自治系统。半物理仿真平台不仅应捕获无人机动力学的物理方面,还应捕获控制论方面的内容,例如自动驾驶仪和连接不同组件的通信层。这样的网络物理整合将允许在存在不确定性,未建模的动力学,低级控制回路,通信协议和不可靠通信的情况下验证制导和编队控制算法:在制导和编队控制律的设计中通常忽略这些方面用于固定翼无人机。本文描述了用于多固定翼无人机的半物理平台的开发,其中所有上述要点都经过仔细整合。该环境采用C ++编程的Raspberry Pi,可以作为辅助计算机连接到标准自动驾驶仪(PX4)。使用服务器程序在分布式设置中进行仿真,该服务器程序设计用于在节点之间路由数据,处理用户输入和无人机的配置。 Gazebo-ROS用作3D可视化工具。

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