Feedback formation control of UAV swarm with multiple implicit leaders

被引:95
作者
He, Lvlong [1 ]
Bai, Peng [2 ]
Liang, Xiaolong [3 ]
Zhang, Jiaqiang [3 ]
Wang, Weijia [1 ]
机构
[1] Air Force Engn Univ, Equipment Management & Safety Engn Coll, Xian 710051, Shaanxi, Peoples R China
[2] Air Force Engn Univ, Equipment Dev & Applicat Res Ctr, Xian 710051, Shaanxi, Peoples R China
[3] Air Force Engn Univ, Air Traff Control & Nav Coll, Xian 710051, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
UAV swarm; Motion consensus; Formation control; Multi-agent system; Implicit leaders; AUTONOMOUS FORMATION FLIGHT; AERIAL VEHICLES; FLOCKING; BEHAVIOR; SYSTEMS;
D O I
10.1016/j.ast.2017.11.020
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
UAV swarm is a typical application of multi-agent system and consists of a certain number of single- or multi-function UAVs. This paper mainly focuses on the motion consensus and formation control of UAV swarm. A novel formation control algorithm suitable for both leaders and followers is designed, in which leaders are implicitly integrated into the swarm and can be influenced by navigational feedback from their flockmates. Theoretical analysis shows that the system is asymptotically stable and can converge to the desired formation without collision among vehicles. Numerical simulations are performed to illustrate the theoretical results and verify the velocity and trajectory tracking abilities of the algorithm. Results reveal that the proposed algorithm guarantees a swarm of UAVs to fly with predefined formation and track scheduled trajectory. Furthermore, the novel algorithm can reduce the communication consumption and enhance the adaptability and scalability of the system. (C) 2017 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:327 / 334
页数:8
相关论文
共 26 条
[1]   Two stage switching control for autonomous formation flight of unmanned aerial vehicles [J].
Ambroziak, Leszek ;
Gosiewski, Zdzislaw .
AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 46 :221-226
[2]   Behavior-based formation control for multirobot teams [J].
Balch, T ;
Arkin, RC .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1998, 14 (06) :926-939
[3]   Distributed Cohesive Motion Control of Flight Vehicle Formations [J].
Bayezit, Ismail ;
Fidan, Baris .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (12) :5763-5772
[4]   Flocking under hierarchical leadership with a free-will leader [J].
Dong, Jiu-Gang .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2013, 23 (16) :1891-1898
[5]   Formation Control Strategy for Nonholonomic Intelligent Vehicles Based on Virtual Structure and Consensus Approach [J].
Dong, Longfei ;
Chen, Yangzhou ;
Qu, Xiaojun .
GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY, 2016, 138 :415-424
[6]  
Hauert S., 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), P5015, DOI 10.1109/IROS.2011.6048729
[7]  
Housheng Su, 2008, Proceedings of the 46th IEEE Conference on Decision and Control, P2937
[8]  
Housheng Su, 2008, Proceedings of the 46th IEEE Conference on Decision and Control, P1429
[9]   A Hierarchical Architecture for Formation Control of Multi-UAV [J].
Hu Zhi-wei ;
Liang Jia-hong ;
Chen Ling ;
Wu Bing .
2012 INTERNATIONAL WORKSHOP ON INFORMATION AND ELECTRONICS ENGINEERING, 2012, 29 :3846-3851
[10]   Flocking behavior with multiple leaders and global trajectory [J].
Li Meng ;
Liang Jia-hong ;
Li Shi-lei .
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (06) :2324-2333