摘要
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。
Aiming at the task assignment problem of multi center Unmanned Aerial Vehicle(UAV)cluster 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 distance,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.
作者
蔡方儿
周航
李昀宸
周进驹
CAI Fang-er;ZHOU Hang;LI Yun-chen;ZHOU Jin-ju(Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)
出处
《航空计算技术》
2024年第1期66-70,共5页
Aeronautical Computing Technique
基金
中央高校基本科研业务费专项资助(NS2021052)。
关键词
无人机集群
维修保障
任务分配
多中心
人工蜂群算法
the UAV cluster
maintenance support
task allocation
multi center
the artificial bee colony algorithm
作者简介
蔡方儿(1999-),女,浙江丽水人,硕士研究生。
