Overview of Key Technology and Its Development of Drone Swarm

被引:0
作者
Li J. [1 ]
Chen S. [2 ]
机构
[1] China Research and Development Academy of Machinery Equipment, Beijing
[2] Xi'an Institute of Modern Control Technology, Shaanxi, Xi'an
来源
Binggong Xuebao/Acta Armamentarii | 2023年 / 44卷 / 09期
关键词
development suggestion; drone swarm; emergence effect; key technology;
D O I
10.12382/bgxb.2023.0514
中图分类号
学科分类号
摘要
Modern warfare modes have given birth to the drone swarms as a new type of operational pattern. The concept of forming the advanced group intelligent behavior obtained by using drones with simple functions, which applies the natural bee swarm organization algorithm,is systematically analyzed. The classification and characteristics of drone swarm are introduced. The key technologies and development status of collaborative networking, sensing, decision-making and control are summarized. Focusing on the practical requirements under complex countermeasure environments, the key points and difficulties in the development of unmanned drone swarm technology which integrates electro-optic detection, communication networking, collaborative control and task planning into one are presented. The development approaches and measures of the drone swarm technologies are also put forward, hoping to achieve the goal of leading the development direction of unmanned drone swarm technology and promoting the corresponding technologies to practical applications. © 2023 China Ordnance Society. All rights reserved.
引用
收藏
页码:2535 / 2545
页数:10
相关论文
共 53 条
[1]  
JIA Y N, TIAN S Y, LI Q., Recent development of unmanned aerial vehicle swarms, Acta Aeronautica et Astronautica Sinica, 41, S1, (2020)
[2]  
XIANG J W, DONG X W, DING W R, Et al., Key technologies for autonomous cooperation of unmanned swarm systems in complex environments, Acta Aeronautica et Astronautica Sinica, 43, 10, (2022)
[3]  
JIAO S J, WANG B Q, LIU J H, Et al., Review of drone swarm research at home and abroad, Aerospace Electronic Warfare, 35, 1, pp. 61-64, (2019)
[4]  
YAN H G, SUN X B., Research on anti-UAV swarm operational concept on the sea [ J], Ship Electronic Engineering, 39, 11, pp. 38-42, (2019)
[5]  
DU Y H, XING L N, CAI Z Q., Survey on intelligent scheduling technologies for unmanned flying craft clusters [ J ], Acta Automatica Sinica, 46, 2, pp. 222-241, (2020)
[6]  
DING F, WANG J S, TANG H F., Reunderstanding of UAV swarm based on system theory, Aerospace Electronic Warfare, 38, 1, pp. 6-8, (2022)
[7]  
YAN H G, SUN X B., Research on anti-UAV swarm operational concept on the sea, Ship Electronic Engineering, 39, 11, pp. 38-42, (2019)
[8]  
ZHANG B C, LIAO J, KUANG Y, Et al., Research status and development trend of the United States UAV swarm battlefield, Aero Weaponry, 27, 6, pp. 7-12, (2020)
[9]  
GUO J F, ZHENG H X, JIA T, Et al., Summary of key technologies for heterogeneous unmanned system cooperative operations, Journal of Astronautics, 41, 6, pp. 686-696, (2020)
[10]  
HAO Y N, KONG C, GUAN X H., Analysis of the application and development of UAV combat abroad—reflections on the Nagorno-Karabakh conflict, Defence Science & Technology Industry, 2021, 2, pp. 50-53