Distributed coordinated control scheme of UAV swarm based on heterogeneous roles

被引:30
作者
Zhao, Jiang [1 ]
Sun, Jiaming [1 ]
Cai, Zhihao [1 ]
Wang, Yingxun [1 ]
Wu, Kun [2 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
[2] Beihang Univ, Flying Coll, Beijing 100083, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Coordination strategy; Distributed control; Heterogeneous roles; Swarm intelligence; Unmanned Aerial Vehicles (UAV); FORMATION TRACKING CONTROL; FLOCKING CONTROL; VEHICLES; SYSTEMS;
D O I
10.1016/j.cja.2021.01.014
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper proposes a new distributed coordinated control scheme based on heterogeneous roles for Unmanned Aerial Vehicle (UAV) swarm to achieve formation control. First, the framework of the distributed coordinated control scheme is designed on the basis of Distributed Model Predictive Control (DMPC). Then, the effect of heterogeneous roles including leader, coordinator and follower is discussed, and the role-based cost functions are developed to improve the performance of coordinated control for UAV swarm. Furthermore, a group of coordination strategies are proposed for UAVs with different roles to achieve swarm conflict resolution. Numerical simulations demonstrate that the presented distributed coordinated control scheme is effective to formulate and maintain the desired formation for the UAV swarm.(c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:81 / 97
页数:17
相关论文
共 25 条
[1]   Formation flight of fixed-wing UAV swarms: A group-based hierarchical approach [J].
Chen, Hao ;
Wang, Xiangke ;
Shen, Lincheng ;
Cong, Yirui .
CHINESE JOURNAL OF AERONAUTICS, 2021, 34 (02) :504-515
[2]   Swarming Coordination with Robust Control Lyapunov Function Approach [J].
Chiew, Soon Hooi ;
Zhao, Weihua ;
Go, Tiauw Hiong .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2015, 78 (3-4) :499-515
[3]   A Survey on Aerial Swarm Robotics [J].
Chung, Soon-Jo ;
Paranjape, Aditya Avinash ;
Dames, Philip ;
Shen, Shaojie ;
Kumar, Vijay .
IEEE TRANSACTIONS ON ROBOTICS, 2018, 34 (04) :837-855
[4]   Swarm Intelligence-Inspired Autonomous Flocking Control in UAV Networks [J].
Dai, Fei ;
Chen, Ming ;
Wei, Xianglin ;
Wang, Huibin .
IEEE ACCESS, 2019, 7 :61786-61796
[5]   Distributed receding horizon control for multi-vehicle formation stabilization [J].
Dunbar, WB ;
Murray, RM .
AUTOMATICA, 2006, 42 (04) :549-558
[6]  
Fu XW, 2019, 2019 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), P205, DOI [10.1109/anzcc47194.2019.8945601, 10.1109/ANZCC47194.2019.8945601]
[7]   Finite-time formation tracking control with collision avoidance for quadrotor UAVs [J].
Huang, Youfang ;
Liu, Wen ;
Li, Bo ;
Yang, Yongsheng ;
Xiao, Bing .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (07) :4034-4058
[8]  
Jia Z, 2018, INT CONF CLOUD COMPU, P11, DOI 10.1109/CCIS.2018.8691140
[9]   Multiagent Flocking With Angle-Based Formation Shape Control [J].
Jing, Gangshan ;
Wang, Long .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (02) :817-823
[10]  
Kuriki Y, 2014, P AMER CONTR CONF