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多中心无人机集群维修保障任务分配优化研究

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针对多中心无人机集群维修保障任务分配问题,分析无人机集群维修保障任务的约束条件,以最小化无人机等待时间、保障人员的等待时间为目标函数,并考虑保障人员的工作公平性建立无人机集群维修保障任务分配模型,通过人工蜂群算法进行优化求解.算例表明:模型与以飞行距离最短为目标的先到先服务模型相比,无人机准备时长减少了 0.8%,保障人员等待时长减少了 21.0%,保障总时长减少了 4.3%,提高了无人机维修保障的敏捷性,实现了人员工作的均衡分布,验证了模型和算法的可行性.
Optimization of Multi-center UAV Cluster Maintenance Task Allocation
Aiming at the task assignment problem of multi-center Unmanned Aerial Vehicle(UAV)clus-ter support,this paper analyzes the constraints of the UAV cluster support task.The waiting time of the UAV and the waiting time of maintenance personnel are regarded as the objective function,and the job fairness of maintenance personnel is also considered to establish a UAV cluster support task assignment model,which is optimized by the artificial bee colony algorithm.Finally,it is verified by the example.The result shows that compared with the first-come first-served model with the target of shortest flight dis-tance,the UAV preparation time,the waiting time of the support personnel,and the total support time are reduced by 0.8%,21.0%,and 4.3%respectively.It improves the agility of UAV support,realizes the balanced distribution of personnel work,and verifies the feasibility of the model and algorithm.

the UAV clustermaintenance supporttask allocationmulti-centerthe artificial bee colony algorithm

蔡方儿、周航、李昀宸、周进驹

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南京航空航天大学,江苏南京 211000

无人机集群 维修保障 任务分配 多中心 人工蜂群算法

中央高校基本科研业务费专项资助

NS2021052

2024

航空计算技术
中国航空工业西安航空计算技术研究所

航空计算技术

CSTPCD
影响因子:0.316
ISSN:1671-654X
年,卷(期):2024.54(1)
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