激光供能无人机集群充电策略研究
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煤燃烧国家重点实验室开放基金项目(No.FSKLCCA1607);梯级水电站运行与控制湖北省重点实验室基金项目(No.2015KJX07);产学研协同培养研究生实践创新能力机制研究项目(No.SDYJ201604)资助


Research on charging strategy of laser powered UAV cluster
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    摘要:

    在复杂的环境中,单个无人机(UAV)执行任务的效率比较低,因此UAV越来越趋向于集群化、协作化。对于激光供能UAV集群来说,高效的充电调度对提高UAV集群的生存能力至关重要。本文提出了一种基于实时能量检测的在线充电策略(REDOCS)。根据UAV各个时刻的剩余能量计算出UAV的实时能量消耗率,然后计算每个UAV的剩余飞行时间以此来选择需要充电的UAV。相较于离线充电策略,REDOCS可以在提高整个网络的运行效率的同时降低UAV集群迫降率。最后通过算例验证,证明了REDOCS在UAV集群充电调度上表现更优。

    Abstract:

    In the complex environment,the efficiency of single UAV is relatively low,so UAVs tend to be more and more clustered and collaborative.For laser powered UAV cluster,efficient charging scheduling is very important to improve the survivability of UAV cluster.This paper presents an Real-time Energy Detection Online Charging Strategy(REDOCS).The real-time energy consumption rate of UAV is calculated according to the remaining energy of UAV at each time,and then the remaining flight time of each UAV is calculated to select the UAV to be charged.Compared with the off-line charging strategy,REDOCS can improve the efficiency of the whole network and reduce the UAV cluster forced landing rate.Finally,an example shows that REDOCS performs better in the charging scheduling of UAV cluster.

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袁建华,李尚,黄开,洪沪生,赵子玮.激光供能无人机集群充电策略研究[J].激光与红外,2020,50(10):1190~1195
YUAN Jian-hua,LI Shang,HUANG Kai,HONG Hu-sheng,ZHAO Zi-wei.Research on charging strategy of laser powered UAV cluster[J].LASER & INFRARED,2020,50(10):1190~1195

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  • 在线发布日期: 2020-10-28
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