群体行为
避碰
可扩展性
计算机科学
固定翼
航程(航空)
群机器人
控制理论(社会学)
理论(学习稳定性)
翼
碰撞
职位(财务)
控制工程
工程类
控制(管理)
人工智能
航空航天工程
经济
财务
机器学习
数据库
计算机安全
作者
Jiacheng Li,Yangwang Fang,Haoyun Cheng,Zhikai Wang,Zihao Wu,Mengjie Zeng
出处
期刊:IEEE Systems Journal
[Institute of Electrical and Electronics Engineers]
日期:2023-03-01
卷期号:17 (1): 744-755
被引量:4
标识
DOI:10.1109/jsyst.2022.3212068
摘要
In this article, a distributed control algorithm for a large-scale fixed-wing unmanned aerial vehicle (UAV) swarm system of collision avoidance and formation maneuver is proposed, which can meet the demands of a dense swarm with collaborative autonomy. First, a novel structure of a swarm is introduced, which can provide the reserved maneuverable space for UAVs during the flight. Besides, inspired by the movement of bird flocks, the light transmission model is proposed to improve the conventional potential field functions, which can realize the UAV swarm with the capability of repulsion in the short-range, speed and position cooperation in the middle range, and attraction in the remote range. Then, the distributed control architecture and the control algorithm of UAVs are designed, and the stability of the swarm is proved correspondingly. In the end, several numerical simulation results show the effectiveness and superiority of the proposed method, which illustrates the distributed control architecture of the swarm system to be more adaptable, stable, and scalable. Therefore, the proposed control algorithm provides strong theoretical support for the actual application in a large-scale fixed-wing UAV swarm system collaborative autonomy.
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