Design of UAV Swarm Mission System Architecture Based on MBSE

The concept and operational advantages of UAV swarms were described, and the current status of UAV swarm mission architecture both domestically and internationally was analyzed. Using the model-based systems engineering (MBSE) approach, the relationships within UAV swarm operational units were defined, including swarm task forces, equipment systems, operational field environments, and sibling troops. The six-level framework of "task-execution-policy-action-algorithm-data" was adopted to build the drone swarm task architecture. The connotations and elements of each level were analyzed, achieving effective coupling between tasks, strategies, organization, technology, algorithms, and on-site constraints of task operations, facilitating the development of swarm task operation orders in the future.

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Published
2025-05-23
DOI
https://doi.org/10.1109/icaisisas64483.2025.11051393
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

Design of UAV Swarm Mission System Architecture Based on MBSE

Yongzhao Hua, Fan Xiao
Advanced Algorithms and Applications
article

Design of UAV Swarm Mission System Architecture Based on MBSE

Yongzhao Hua, Fan Xiao
article en

Abstract

The concept and operational advantages of UAV swarms were described, and the current status of UAV swarm mission architecture both domestically and internationally was analyzed. Using the model-based systems engineering (MBSE) approach, the relationships within UAV swarm operational units were defined, including swarm task forces, equipment systems, operational field environments, and sibling troops. The six-level framework of "task-execution-policy-action-algorithm-data" was adopted to build the drone swarm task architecture. The connotations and elements of each level were analyzed, achieving effective coupling between tasks, strategies, organization, technology, algorithms, and on-site constraints of task operations, facilitating the development of swarm task operation orders in the future.

AviChina Industry & Technology (China) (CN), Beihang University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Advanced Algorithms and Applications
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Design of UAV Swarm Mission System Architecture Based on MBSE — Yongzhao Hua, Fan Xiao · (2025) | TGRS Research Map | TGRS