基于分布式ugv的多无人机动态区域覆盖:一种两阶段密度估计方法

Senthilnath Jayavelu, Harikumar Kandath, S. Sundaram
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引用次数: 6

摘要

本文重点研究了通过部署地面无人驾驶车辆(ugv)群作为移动加油和维修站来增加无人机(uav)自主任务的持续时间。传统的无人机使用固定的中央主充电站(MCS)加油。提出了一种高效分配无人潜航器作为无人机移动补给站的算法。我们提出了一种两阶段密度估计方法。在第一阶段,计算了ugv的最优数量及其分布;在第二阶段,ugv与最近的无人机动态协调,同时最小化加油的平均距离。将该算法的性能与无人机控制站的静态布置进行了比较。数值模拟结果表明,与控制站的静态布局相比,分布式ugv具有相当大的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach
This paper focuses on increasing the duration of autonomous missions performed by Unmanned Aerial Vehicles (UAVs) by deploying a swarm of Unmanned Ground Vehicles (UGVs) as mobile refueling and maintenance stations. Conventionally UAVs are refueled with the fixed centralized Main Charging Stations (MCS). An algorithm is developed for efficiently distributing the swarm of UGVs to act as mobile refueling stations for UAVs. We have proposed a two-stage density estimation approach. In the first-stage, the optimal number of UGVs and its distribution were computed. In the second-stage, the UGVs coordinates with the nearest UAVs dynamically, while minimizing the average distance for refueling. The performance of the algorithm is compared with the static placement of control station for UAVs to coordinate. The numerical simulation shows a considerable advantage of distributed UGVs over the static placement of control stations.
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