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Fault Diagnosis and Reconfigurable Control of Autonomous Underwater Vehicles With Actuator Faults and Predefined-Time Stability

delete2026-07-06
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PRE
AI
J
Jiarun Wang
Y
Yimin Chen *
J
Jian Gao
L
Leifeng Gao
DOI:10.1002/rnc.70649delete
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Abstract

Abstract

En 中文
Actuator faults threaten the sailing safety of autonomous underwater vehicles (AUVs). This paper proposes a reconfigurable control strategy with fault diagnosis (FD) for AUVs, considering the actuator faults, fault estimation errors, external disturbances, and convergence rate. A FD method is designed to detect and identify the actuator faults accurately in the presence of external disturbance. Then, a reconfiguration mechanism is given to improve the total performance of the switching process. Subsequently, upon identifying fault information and achieving a certain level of reconfiguration accuracy, a sliding mode fault-tolerant control (FTC) with predefined-time stability is employed. This scheme addresses external disturbances and estimation errors collectively by assuming a reasonable constant upper bound. Theoretical proofs are provided to ensure that the designed FTC achieves convergence to desired states within predefined timeframes. Simulation studies under various conditions validate the effectiveness of the proposed reconfiguration strategy.
Keywords:
autonomous underwater vehicle (AUV)
fault diagnosis (FD)
fault-tolerant control (FTC)
predefined-time stability
reconfiguration mechanism

Journal

International Journal of Robust and Nonlinear Control cover
International Journal of Robust and Nonlinear Control
IF:
3.2
Papers:
6.9K
Citations:
1.4W

Organization

N
northwestern polytechnical university
Scholars:
1.0W
Papers: 3.8K
Citations: 0
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