Abstract
The Unmanned Aerial Vehicle (UAV) swarm coordination control system is key to enabling UAVs to accomplish missions collaboratively without conflicts. A series of representative system architectures has been proposed following the top-down decomposition approach, dividing the challenging coordination control problem into several sub-problems. However, these explorations have usually been confined to model details and little has been done in the way of perception of the whole system. To create a unified understanding of the control system, a concept of a bio-inspired UAV swarm coordination control system is proposed in this paper, and the architecture of this system is described based on the domain meta-model (DMM) of the Unified Architecture Framework (UAF). Basic components of this conceptual system are extracted from predefined UAF domains, and customized meta-models of the bio-inspired UAV swarm coordination control system are established at each layer on the basis of general UAF DMM with selected standard UAF viewpoints. Introducing model-based system engineering methodology, the architecture description provides relevant developers with intuitive and coherent system perception. This architecture can also help generate a standard development procedure for the coordination control system and a reference for UAV swarm top-level design.
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Acknowledgements
The authors would like to thank the National Natural Science Foundation of China (62073267, 61903305) for its financial support. This work was also partially funded by the Aeronautical Science Foundation of China (201905053001) and Research Funds for Interdisciplinary Subject, NWPU (19SH030401).
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Li, M., Zhang, A., Bi, W., Mao, Z., Wang, W. (2023). Bio-Inspired UAV Swarm Coordination Control System Architecture Based on UAF Meta-model. In: Lee, S., Han, C., Choi, JY., Kim, S., Kim, J.H. (eds) The Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2021), Volume 2. APISAT 2021. Lecture Notes in Electrical Engineering, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-19-2635-8_63
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DOI: https://doi.org/10.1007/978-981-19-2635-8_63
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