用于编队控制的模块化体系结构

R. Fierro, A.K. Das
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引用次数: 33

摘要

我们提出了一个四层架构,用于协调配备距离传感器和无线网卡的移动机器人团队,并以期望的编队导航到期望的位置。我们开发了基于图的算法,用于发现和协作控制。发现包括使用感官信息将机器人组织成一个移动网络,允许每个机器人建立它的邻居,必要时,一个或多个领导者。协同控制的任务是实现理想的编队形状并保持它。此外,我们将模块化自适应控制器集成到我们的框架中,以显式处理车辆的未知动态信息。数值模拟说明了这些思想的应用,并证明了所提出的体系结构在大型机器人群中的可扩展性。
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A modular architecture for formation control
We present a four layer architecture for coordinating a team of mobile robots equipped with range sensors and wireless network cards, and the task of navigating to a desired location in a desired formation. We develop graph-based algorithms for discovery, and cooperative control. Discovery involves the use of sensory information to organize the robots into a mobile network allowing each robot to establish its neighbors and, when necessary, one or more leaders. Cooperative control is the task of achieving a desired formation shape and maintaining it. In addition, we integrate a modular adaptive controller into our framework to explicitly deal with the unknown dynamics of the vehicles information. Numerical simulations illustrate the application of these ideas and demonstrate the scalability of the proposed architecture for a large group of robots.
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