Unmanned aerial vehicle swarm distributed cooperation method based on situation awareness consensus and its information processing mechanism

被引:12
作者
Gao, Yang [1 ]
Li, Dongsheng [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Engn, Hefei 230037, Peoples R China
关键词
Unmanned aerial vehicle swarm; Cooperation method; Situation awareness; Situation awareness consensus; Group decision making; Consensus; GROUP DECISION-MAKING; LINGUISTIC PREFERENCE RELATIONS; THREAT ASSESSMENT METHOD; OPERATORS; NETWORKS; MODEL; GDM;
D O I
10.1016/j.knosys.2019.105034
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Unmanned aerial vehicle (UAV) swarm autonomous cooperation method is the basis of UAV swarm intelligent decision-making and cooperative engagement. Due to the complexity and antagonism of the mission environment, usually UAV swarm works in a distributed architecture. However, the process of situation awareness (SA) and the uncertainty of situation information have not been considered carefully by existing distributed cooperation methods. This paper proposes UAV swarm distributed cooperation method based on SA consensus and its information processing mechanism. Firstly, combined with the characteristics of swarm cooperative engagement, we analyze the essence of swarm distributed cooperation methods and propose swarm distributed cooperation method based on SA consensus, which can be further classified into situation perception consensus and situation comprehension consensus. Then, based on different types of consensus model of group decision making (GDM), we regard the UAVs which have a certain autonomous intelligence as intelligent decision-makers and establish the corresponding information processing mechanisms of proposed distributed cooperation methods. Finally, theoretical analysis and case study are used to demonstrate the practicality and effectiveness of the proposed method, which is more suitable for complex and antagonistic mission environment. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
相关论文
共 52 条
[11]   A PSO-based multi-robot cooperation method for target searching in unknown environments [J].
Dadgar, Masoud ;
Jafari, Shahram ;
Hamzeh, Ali .
NEUROCOMPUTING, 2016, 177 :62-74
[12]   A fault-tolerant self-organizing flocking approach for UAV aerial survey [J].
De Benedetti, M. ;
D'Urso, F. ;
Fortino, G. ;
Messina, F. ;
Pappalardo, G. ;
Santoro, C. .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 96 :14-30
[13]   Consensus reaching model in the complex and dynamic MAGDM problem [J].
Dong, Yucheng ;
Zhang, Hengjie ;
Herrera-Viedma, Enrique .
KNOWLEDGE-BASED SYSTEMS, 2016, 106 :206-219
[14]   Multiperson decision making with different preference representation structures: A direct consensus framework and its properties [J].
Dong, Yucheng ;
Zhang, Hengjie .
KNOWLEDGE-BASED SYSTEMS, 2014, 58 :45-57
[15]   Situation Awareness Misconceptions and Misunderstandings [J].
Endsley, Mica R. .
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING, 2015, 9 (01) :4-32
[16]   Cross-task cue utilisation and situational awareness in simulated air traffic control [J].
Falkland, Emma C. ;
Wiggins, Mark W. .
APPLIED ERGONOMICS, 2019, 74 :24-30
[17]   Consensus evaluation method of multi-ground-target threat for unmanned aerial vehicle swarm based on heterogeneous group decision making [J].
Gao, Yang ;
Li, Dongsheng .
COMPUTERS & ELECTRICAL ENGINEERING, 2019, 74 :223-232
[18]   UAV Swarm Cooperative Situation Perception Consensus Evaluation Method Based on Three-Parameter Interval Number and Heronian Mean Operator [J].
Gao, Yang ;
Li, Dongsheng .
IEEE ACCESS, 2018, 6 :73328-73340
[19]   UAV Distributed Swarm Situation Awareness Model [J].
Gao Yang ;
Li Dongsheng ;
Cheng Zexin .
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (06) :1271-1278
[20]   Feedback formation control of UAV swarm with multiple implicit leaders [J].
He, Lvlong ;
Bai, Peng ;
Liang, Xiaolong ;
Zhang, Jiaqiang ;
Wang, Weijia .
AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 72 :327-334