Hierarchical Distributed Fixed-Wing Close Formation Management and Control with Erratic UAV Failure

  • Qi Wei
  • , Dongxiao Yang*
  • , Sheng Zhang
  • , Juan Li
  • *Corresponding author for this work

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

Abstract

Close formation flight of UAVs under erratic conditions enhances collaborative defense and concentrated attacks, yielding air superiority and offensive advantages that present significant threats to adversarial air defense systems. This paper investigates a close formation management and control resolution for fixed-wing UAVs with erratic UAV failure, which has three contributions: Initially, a hierarchical distributed close formation control framework is designed, markedly improving robustness and adaptability compared to conventional centralized leader-follower paradims. Then, a formation management strategy based on Dynamic Spanning Tree (DST) is proposed, to maintain formation density without considering formation shape. Finally, an Adaptive Velocity Tracking (AVT) controller with a roll maneuver adjuster is developed, allowing the close formation to flexibly respond to maneuvering tasks. Validated by UAV swarm simulation with unpredictable node failure, the proposed method meets basic requirements for fixed-wing close formation flight, confirming its feasibility and practicality.

Original languageEnglish
Title of host publication2025 4th International Symposium on Aerospace Engineering and Systems, ISAES 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages180-188
Number of pages9
ISBN (Electronic)9798331566098
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event4th International Symposium on Aerospace Engineering and Systems, ISAES 2025 - Nanjing, China
Duration: 25 Jul 202527 Jul 2025

Publication series

Name2025 4th International Symposium on Aerospace Engineering and Systems, ISAES 2025

Conference

Conference4th International Symposium on Aerospace Engineering and Systems, ISAES 2025
Country/TerritoryChina
CityNanjing
Period25/07/2527/07/25

Keywords

  • Fixed-wing UAVs
  • close formation control
  • graph theory
  • hierarchical distributed system

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