Enhancing Transportation Reliability: Refined Fault-Tolerant Control for Fixed-Wing AAVs Under Constraints and Actuator Imperfections

Transportation safety critically relies on the reliable and precise trajectory tracking control of fixed-wing autonomous aerial vehicles (AAVs). Consequently, actuator imperfections coupled with state constraints challenge AAV operations, necessitating an enhanced controller that integrates anti-windup capabilities and robust fault tolerance, particularly in dynamic transportation scenarios. This paper proposes a refined fault-tolerant control (FTC) scheme for fixed-wing AAVs to maintain high-performance and safe operation under actuator faults, external disturbances, and multiple constraints including state limits, input magnitude and rate saturations (MRS). The scheme integrates a fixed-time improved extended state observer (IESO) that rapidly estimates lumped uncertainties (including faults/disturbances) and actively compensates for input magnitude and rate constraints, which prevents performance degradation. Based on this estimation, a finite-time fractional-order FTC (FTFOFTC) is developed using fractional-order (FO) backstepping and barrier Lyapunov functions to enforce state constraints. This leverages the unique properties of FO calculus for flexible performance tuning and refined tracking dynamics. Lyapunov stability analysis proves the boundedness of all estimation and tracking errors. Extensive simulations validate that the proposed FTFOFTC guarantees desired trajectory tracking performance and system stability despite actuator imperfections, thereby significantly contributing to more robust and reliable AAV deployment in intelligent transportation systems.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-08-20
DOI
https://doi.org/10.1109/tits.2025.3584393
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing Transportation Reliability: Refined Fault-Tolerant Control for Fixed-Wing AAVs Under Constraints and Actuator Imperfections

Ge Guo, Yiwei Xu, JiangSheng Xie
1 links
IEEE Transactions on Intelligent Transportation Systems
Fault Detection and Control Systems
article

Enhancing Transportation Reliability: Refined Fault-Tolerant Control for Fixed-Wing AAVs Under Constraints and Actuator Imperfections

Ge Guo, Yiwei Xu, JiangSheng Xie
article en

Abstract

Transportation safety critically relies on the reliable and precise trajectory tracking control of fixed-wing autonomous aerial vehicles (AAVs). Consequently, actuator imperfections coupled with state constraints challenge AAV operations, necessitating an enhanced controller that integrates anti-windup capabilities and robust fault tolerance, particularly in dynamic transportation scenarios. This paper proposes a refined fault-tolerant control (FTC) scheme for fixed-wing AAVs to maintain high-performance and safe operation under actuator faults, external disturbances, and multiple constraints including state limits, input magnitude and rate saturations (MRS). The scheme integrates a fixed-time improved extended state observer (IESO) that rapidly estimates lumped uncertainties (including faults/disturbances) and actively compensates for input magnitude and rate constraints, which prevents performance degradation. Based on this estimation, a finite-time fractional-order FTC (FTFOFTC) is developed using fractional-order (FO) backstepping and barrier Lyapunov functions to enforce state constraints. This leverages the unique properties of FO calculus for flexible performance tuning and refined tracking dynamics. Lyapunov stability analysis proves the boundedness of all estimation and tracking errors. Extensive simulations validate that the proposed FTFOFTC guarantees desired trajectory tracking performance and system stability despite actuator imperfections, thereby significantly contributing to more robust and reliable AAV deployment in intelligent transportation systems.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(10)
Hong Kong Polytechnic University (HK), Zhejiang University (CN), Northeastern University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Climate action
Openalex Percentile: Top 74%
Fault Detection and Control Systems
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