Predefined-Time Fuzzy Control for Resilient Formation of Multi-QUAVs Under Communication Link Faults

This article investigates adaptive fuzzy fault-tolerant formation control (FTFC) for multiple quadrotor unmanned aerial vehicles (multi-QUAVs) under predefined-time performance requirements. The problem formulation accounts for communication link faults and uncertain dynamic disturbances, which inevitably arise in complex multi-QUAV operational environments. To address these challenges, a distributed predefined-time observer compensating for communication link faults is suitably proposed, followed by design of an adaptive fuzzy formation control strategy, where a nonsingular terminal sliding mode (NTSM) technique is integrated to enhance the tracking performance with faster transient response, and adaptive fuzzy logic systems (FLSs) are then effectively utilized to generate online estimates of multi-QUAV states to ensure adaptability and robustness against uncertainties. Furthermore, a Lyapunov-based analysis is employed to verify the closed-loop system's ability to stabilize within a predefinedtime. Finally, numerical simulations and performance comparisons substantiate the proposed formation control scheme's effectiveness and practical utility.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-09-17
DOI
https://doi.org/10.1109/taes.2025.3611409
Citations
1
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
1.21
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article

Predefined-Time Fuzzy Control for Resilient Formation of Multi-QUAVs Under Communication Link Faults

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article

Predefined-Time Fuzzy Control for Resilient Formation of Multi-QUAVs Under Communication Link Faults

Jin Zhou, Hongsheng Sha, Runlong Peng, Zhonghua Miao, Yunli Zhang, Yunhui Li, Zigen Song
article en
1 citations

Abstract

This article investigates adaptive fuzzy fault-tolerant formation control (FTFC) for multiple quadrotor unmanned aerial vehicles (multi-QUAVs) under predefined-time performance requirements. The problem formulation accounts for communication link faults and uncertain dynamic disturbances, which inevitably arise in complex multi-QUAV operational environments. To address these challenges, a distributed predefined-time observer compensating for communication link faults is suitably proposed, followed by design of an adaptive fuzzy formation control strategy, where a nonsingular terminal sliding mode (NTSM) technique is integrated to enhance the tracking performance with faster transient response, and adaptive fuzzy logic systems (FLSs) are then effectively utilized to generate online estimates of multi-QUAV states to ensure adaptability and robustness against uncertainties. Furthermore, a Lyapunov-based analysis is employed to verify the closed-loop system's ability to stabilize within a predefinedtime. Finally, numerical simulations and performance comparisons substantiate the proposed formation control scheme's effectiveness and practical utility.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(6)
Shanghai University (CN), Tongji University (CN), Shandong Management University (CN)
Openalex Percentile: Top 17%
Elevator Systems and Control
1.21
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