A Comprehensive Review of UAV Formation Control from a Mission-Driven Perspective

To systematically review the research progress on unmanned aerial vehicle (UAV) formation control, this paper proposes a mission-driven full-lifecycle analysis architecture. The architecture summarizes the core scenarios and key technologies involved in the three main stages: formation assembly, formation maintenance, and formation reconfiguration. Moreover, a comprehensive evaluation framework is established that covers pre-event, in-event, and post-event phases from the perspectives of resilience, robustness, reliability, and vulnerability. The interrelationships among these four dimensions are explained in terms of time, function, and design. Finally, this paper identifies current research gaps and practical challenges in terms of algorithms, evaluation methodologies, and real-world deployment verification, and outlines future development directions.

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Publication Details

Journal
Drones
Published
2026-04-13
DOI
https://doi.org/10.3390/drones10040278
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Comprehensive Review of UAV Formation Control from a Mission-Driven Perspective

Wenjun Xie, Peng Xie, Jiaqi Liu
Drones
Distributed Control Multi-Agent Systems
article

A Comprehensive Review of UAV Formation Control from a Mission-Driven Perspective

Wenjun Xie, Peng Xie, Jiaqi Liu
article en

Abstract

To systematically review the research progress on unmanned aerial vehicle (UAV) formation control, this paper proposes a mission-driven full-lifecycle analysis architecture. The architecture summarizes the core scenarios and key technologies involved in the three main stages: formation assembly, formation maintenance, and formation reconfiguration. Moreover, a comprehensive evaluation framework is established that covers pre-event, in-event, and post-event phases from the perspectives of resilience, robustness, reliability, and vulnerability. The interrelationships among these four dimensions are explained in terms of time, function, and design. Finally, this paper identifies current research gaps and practical challenges in terms of algorithms, evaluation methodologies, and real-world deployment verification, and outlines future development directions.

DronesVol. 10(4)
Air Force Engineering University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 22%
Distributed Control Multi-Agent Systems
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