固定翼无人机协同控制实验研究

S. Bayraktar, Georgios Fainekos, George J. Pappas
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引用次数: 108

摘要

近年来,人们对多架无人机(uav)网络的发展兴趣迅速增长,作为用于协调监测、监视和快速应急响应的空中传感器网络。这引发了对更高层次的规划和控制的大量研究,包括协同感知和探索,同步运动规划,以及编队或协同控制。在本文中,我们描述了我们最近在宾夕法尼亚大学开发的实验试验台,该试验台由多架固定翼无人机组成。介绍了系统的体系结构、软硬件组成和整体系统集成。然后,我们推导出高保真模型,并通过硬件在环仿真和实际实验进行验证。我们的模型是混合的,不仅捕获了飞机的物理动力学,而且还捕获了监督低层控制器的模式切换逻辑。最后对两架固定翼无人机的协同控制实验进行了描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental cooperative control of fixed-wing unmanned aerial vehicles
Recent years have seen rapidly growing interest in the development of networks of multiple unmanned aerial vehicles (UAVs), as aerial sensor networks for the purpose of coordinated monitoring, surveillance, and rapid emergency response. This has triggered a great deal of research in higher levels of planning and control, including collaborative sensing and exploration, synchronized motion planning, and formation or cooperative control. In this paper, we describe our recently developed experimental testbed at the University of Pennsylvania, which consists of multiple, fixed-wing UAVs. We describe the system architecture, software and hardware components, and overall system integration. We then derive high-fidelity models that are validated with hardware-in-the-loop simulations and actual experiments. Our models are hybrid, capturing not only the physical dynamics of the aircraft, but also the mode switching logic that supervises lower level controllers. We conclude with a description of cooperative control experiments involving two fixed-wing UAVs.
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