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

页码：3014 / 3025

页数：12

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