Bio-Inspired UAV Swarm Coordination Control System Architecture Based on UAF Meta-model

Minghao Li, An Zhang, Wenhao Bi, Zeming Mao, Weixiang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationThe Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2
EditorsSangchul Lee, Cheolheui Han, Jeong-Yeol Choi, Seungkeun Kim, Jeong Ho Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages855-864
Number of pages10
ISBN (Print)9789811926341
DOIs
StatePublished - 2023
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021 - Virtual, Online
Duration: 15 Nov 202117 Nov 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume913
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021
CityVirtual, Online
Period15/11/2117/11/21

Keywords

  • Coordination control
  • Meta-model
  • Swarm
  • UAF
  • Unmanned Aerial Vehicle (UAV)

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