Fault-Tolerant Control Against Actuator Faults for Hydrofoil Attitude Control Systems via a Cascaded Extended State Observer

Due to challenging underwater conditions, hydrofoils serving as actuators within the hydrofoil attitude control system (HACS) are prone to failures that can lead to system instability and the inability to complete the intended mission. Fault tolerance in the presence of both faults and disturbances is crucial to ensure the safety and reliability of the system. This article proposes a fault-tolerant control (FTC) strategy for the HACS under stochastic ocean wave disturbances and actuator faults. To address this, a new cascaded extended state observer (ESO) is first employed to estimate system states and lumped disturbances, including mismatched disturbances and actuator faults. Through this approach, the need for separately deriving extended state dynamics equations is eliminated, reducing design complexity and computational load. Subsequently, by integrating a sliding mode control (SMC) technique with a prescribed performance approach to compensate for faults and disturbances, a fault-tolerant controller is developed to ensure that the target system remains state-bounded in the presence of actuator faults, with tracking errors converging to a small neighborhood. Finally, experimental validation based on a hardware-in-loop platform is conducted to verify the effectiveness of the proposed FTC scheme. Unlike traditional methods, which rely on additional dynamics to address faults and wave disturbances, the proposed ESO treats the disturbances as a lumped entity and utilizes nonlinear gain functions, simplifying the process. The findings show that the proposed method reduces tracking errors by at least 91.43% in the mean absolute error (MAE) metric compared to other methods across different cases.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3551999
Citations
2
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Fault-Tolerant Control Against Actuator Faults for Hydrofoil Attitude Control Systems via a Cascaded Extended State Observer

Dezhi Xu, Bin Jiang, Xing‐Gang Yan, Tao Wang
2 citations
IEEE Transactions on Instrumentation and Measurement
Adaptive Control of Nonlinear Systems
2.43
article

Fault-Tolerant Control Against Actuator Faults for Hydrofoil Attitude Control Systems via a Cascaded Extended State Observer

Dezhi Xu, Bin Jiang, Xing‐Gang Yan, Tao Wang
article en
2 citations

Abstract

Due to challenging underwater conditions, hydrofoils serving as actuators within the hydrofoil attitude control system (HACS) are prone to failures that can lead to system instability and the inability to complete the intended mission. Fault tolerance in the presence of both faults and disturbances is crucial to ensure the safety and reliability of the system. This article proposes a fault-tolerant control (FTC) strategy for the HACS under stochastic ocean wave disturbances and actuator faults. To address this, a new cascaded extended state observer (ESO) is first employed to estimate system states and lumped disturbances, including mismatched disturbances and actuator faults. Through this approach, the need for separately deriving extended state dynamics equations is eliminated, reducing design complexity and computational load. Subsequently, by integrating a sliding mode control (SMC) technique with a prescribed performance approach to compensate for faults and disturbances, a fault-tolerant controller is developed to ensure that the target system remains state-bounded in the presence of actuator faults, with tracking errors converging to a small neighborhood. Finally, experimental validation based on a hardware-in-loop platform is conducted to verify the effectiveness of the proposed FTC scheme. Unlike traditional methods, which rely on additional dynamics to address faults and wave disturbances, the proposed ESO treats the disturbances as a lumped entity and utilizes nonlinear gain functions, simplifying the process. The findings show that the proposed method reduces tracking errors by at least 91.43% in the mean absolute error (MAE) metric compared to other methods across different cases.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Jiangnan University (CN), University of Kent (GB), Southeast University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 13%
Adaptive Control of Nonlinear Systems
2.43
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