Multi-UAV Task Assignment Considering Task Sequence Decreasing in Sea Space

被引：1
|
作者：
Ji, Liangjie [1 ,2 ]
Zhao, Xiaolin [2 ]
Lin, Wenxuan [1 ,2 ]
Wei, Zhaotian [1 ,2 ]
Li, Quangen [1 ,2 ]
机构：
[1] Air Force Engn Univ, Grad Sch, Xian 710051, Peoples R China
[2] Air Force Engn Univ, Equipment Management & UAV Engn Sch, Xian 710051, Peoples R China
来源：
PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022 | 2023年 / 1010卷
关键词：
Task assignment; Adaptive inertia weight; Particle classification;
D O I：
10.1007/978-981-99-0479-2_278
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the movement of UAV bases in sea space, the problem of multi-UAV task assignment in sea space is proposed. A task allocation model is established with the goal of summarizing the multi-UAV tasks and the total revenue of UAV recovery ships serving as a maritime UAV base. The constraints in task assignment are analyzed, and a mechanism of diminishing returns for task sequence is added; CIPSO (Classification Improved Particle Swarm Optimization) is proposed for the task model, which uses adaptive inertia weight to adjust the convergence speed of the algorithm; Two particle swarm states are defined according to the state of the particle swarm: BPS and MPS. Optimized for EP and LP in both states. The simulation results show that for the above model, CIPSO has good optimization performance and computational efficiency.
引用
收藏
页码：3014 / 3025
页数：12
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