Yu Xi, Hsieh M Ani, Wei Cong, Tanner Hebert G
ScalAR Lab, GRASP Lab, Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.
Department of Mechanical Engineering, University of Delaware, Newark, DE, United States.
Front Robot AI. 2019 Sep 4;6:76. doi: 10.3389/frobt.2019.00076. eCollection 2019.
We develop a synchronous rendezvous strategy for a network of minimally actuated mobile sensors or to monitor a set of Lagrangian Coherent Structure (LCS) bounded regions, each exhibiting gyre-like flows. This paper examines the conditions under which a pair of neighboring agents achieves synchronous rendezvous relying solely on the inherent flow dynamics within each LCS bounded region. The objective is to enable drifters in adjacent LCS bounded regions to rendezvous in a periodic fashion to exchange and fuse sensor data. We propose an agent-level control strategy to regulate the drifter speed in each monitoring region as well as to maximize the time the drifters are connected and able to communicate at every rendezvous. The strategy utilizes minimal actuation to ensure synchronization between neighboring pairs of drifters to ensure periodic rendezvous. The intermittent synchronization policy enables a locally connected network of minimally actuated mobile sensors to converge to a common orbit frequency. Robustness analysis against possible disturbance in practice and simulations are provided to illustrate the results.
我们为一组最小驱动移动传感器网络开发了一种同步交会策略,用于监测一组由拉格朗日相干结构(LCS)界定的区域,每个区域都呈现出类似漩涡的流动。本文研究了一对相邻智能体仅依靠每个LCS界定区域内的固有流动动力学实现同步交会的条件。目标是使相邻LCS界定区域内的漂流器以周期性方式交会,以交换和融合传感器数据。我们提出了一种智能体级控制策略,以调节每个监测区域内漂流器的速度,并最大限度地延长漂流器在每次交会时连接并能够通信的时间。该策略利用最小驱动来确保相邻漂流器对之间的同步,以确保周期性交会。间歇性同步策略使最小驱动移动传感器的局部连接网络能够收敛到共同的轨道频率。提供了针对实际和模拟中可能干扰的鲁棒性分析,以说明结果。