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Mission-Oriented Miniature Fixed-Wing UAV Swarms: A Multilayered and Distributed Architecture

Authors :
Shulong Zhao
Dong Yin
Xiaojia Xiang
Zhihong Liu
Shengde Jia
Xiangke Wang
Lincheng Shen
Yirui Cong
Jie Li
Source :
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:1588-1602
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

UAV swarms have triggered wide concern due to their potential application values in recent years. While there are studies proposed in terms of the architecture design for UAV swarms, two main challenges still exist: (1) Scalability, supporting a large scale of vehicles; (2) Versatility, integrating diversified missions. To this end, a multi-layered and distributed architecture for mission oriented miniature fixed-wing UAV swarms is presented in this paper. The proposed architecture is built on the concept of modularity. It divides the overall system to five layers: low-level control, high-level control, coordination, communication and human interaction layers, and many modules that can be viewed as black boxes with interfaces of inputs and outputs. In this way, not only the complexity of developing a large system can be reduced, but also the versatility of supporting diversified missions can be ensured. Furthermore, the proposed architecture is fully distributed that each UAV performs the decision-making procedure autonomously so as to achieve better scalability. Moreover, different kinds of aerial platforms can be feasibly extended by using the control allocation matrices and the integrated hardware box. A prototype swarm system based on the proposed architecture is built and the proposed architecture is evaluated through field experiments with a scale of 21 fixed-wing UAVs. Particularly, to the best of our knowledge, this paper is the first work which successfully demonstrates formation flight, target recognition and tracking missions within an integrated architecture for fixed-wing UAV swarms through field experiments.

Details

ISSN :
21682232 and 21682216
Volume :
52
Database :
OpenAIRE
Journal :
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Accession number :
edsair.doi.dedup.....e811bffbe5f18f3baaa6a51b23bafc69