Voronoi coverage control is a particular problem of importance in the area of multi-robot systems, which considers a network of multiple autonomous robots, tasked with optimally covering a large area. This is a common task for fleets of fixed-wing Unmanned Aerial Vehicles (UAVs), which are described in this work by a unicycle model with constant forward-speed constraints. We develop event-based control/communication algorithms to relax the resource requirements on wireless communication and control actuators, an important feature for battery-driven or otherwise energy-constrained systems. To overcome the drawback that the event-triggered algorithm requires continuous measurement of system states, we propose a self-triggered algorithm to estimate the next triggering time. Hardware experiments illustrate the theoretical results.
翻译:在多机器人系统领域,Voronoi的覆盖控制是一个特别重要的问题,它考虑到一个由多个自主机器人组成的网络,负责最优覆盖大面积。这是固定翼无人驾驶飞行器(UAVs)车队的一项共同任务,在这项工作中由具有恒定远速限制的单周期模型描述,我们开发了基于事件的控制/通信算法,以放松无线通信和控制动力器的资源需求,这是电池驱动或能源限制系统的一个重要特征。为了克服事件触发算法要求持续测量系统状态的缺陷,我们提议了一种自触发算法来估计下一个触发时间。硬件实验说明了理论结果。