Robust adaptive active fault‐tolerant control of UAH with unknown disturbances and actuator faults

Yan, Kun; Jiang, Bin; Wu, Qingxian

doi:10.1002/acs.2979

Cited by 11 publications

(7 citation statements)

References 38 publications

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“…Therefore, a fault-estimation observer must be robust to disturbances. Many effective observers—such as adaptive observers, 7,8 unknown input observers, 9,10 proportional integral observers, 11,12 neural-network observers, 13,14 learning observers, 15,16 and descriptor system observers 17,18 —have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Finite-time observer–based robust fault estimation for nonlinear systems

Gao

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article investigates the finite-time fault-estimation problem for a class of Lipschitz nonlinear systems with actuator faults and unknown input disturbances. Specifically, the original system is preliminarily decoupled into two reduced-order subsystems using a linear nonsingular transformation. A novel finite-time observer is proposed to estimate actuator faults in finite time. Subsequently, the proposed finite-time observer is extended to nonlinear systems with unknown input disturbances to investigate the robust fault-estimation problem. The actuator fault and unknown input disturbance are estimated simultaneously using two finite-time observations. Furthermore, a fault-estimation scheme is designed based on finite-time observers. The finite-time stability of the observers is then analysed using the Moreno–Lyapunov function method. The analytical proofs presented herein demonstrate that estimation errors can converge to a region of zero in finite time. Finally, the effectiveness of the developed finite-time observers and fault-estimation scheme was validated through simulations of a sample single-link flexible-joint robot.

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Section: Introductionmentioning

confidence: 99%

Finite-time observer–based robust fault estimation for nonlinear systems

Gao

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…To enhance the FTC capability of flexible satellite, many efficient FTC methods have been reported, such as robust FTC, 19,20 active FTC, 21,22 adaptive FTC 23,24 and so on. In Zhang et al, 25 the robust FTC algorithm was combined with the linear matrix inequality (LMI) technique to handle the actuator fault of flexible satellite and achieve expected control performance.…”

Section: Introductionmentioning

confidence: 99%

Composite attitude fault tolerant tracking control for flexible satellite with time delay

Xiao-li

Shao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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This article deals with the problem of attitude tracking control for flexible satellite under flexible vibration disturbance, actuator fault and time delay. Based on disturbance observer and fault tolerant control techniques, the flexible vibration disturbance and actuator fault are effectively estimated by disturbance observer and fault estimation observer, respectively. Meanwhile, a delay-dependent attitude tracking feedback controller is designed to ensure that the reference attitude is stably tracked. To reduce the conservatism of the designed algorithm, a time delay correlative decomposition factor is introduced to make the flexible satellite have a better performance for attitude tracking control. Finally, the effectiveness of the proposed method is illustrated by numerical simulations.

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“…Chen et al (2016a, b) have employed adaptive fault estimation for mathematic model of a quadrotor unmanned aerial vehicle. Adaptive fault observer has also been developed to estimate fault parameters for a medium-scale unmanned autonomous helicopter in (Yan et al 2019). To separate fault detection and estimation, a fault diagnosis scheme based on two Thau observers has been proposed in (Cen et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Actuator Faults Estimation for a Helicopter UAV in the Presence of Disturbances

Faraji

Nejati

Abedi

2020

J Control Autom Electr Syst

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The aim of this paper is to develop robust three-stage extended Kalman filter for a model based on a fault detection and identification for nonlinear hover mode system of helicopter unmanned aerial vehicle. In addition, we show that, in considered systems, the actuator faults are affected by each other motivated in five scenarios simulation results. More precisely, the proposed approach estimates and decouples actuator faults in the presence of external disturbances in nonlinear mathematical model. Moreover, we analyze and identify various faults such as bias fault and also catastrophic faults such as stuck and floating faults. Finally, the simulation results show effectiveness of the proposed robust method for detection and isolation of various actuator faults and differentiating bias and stuck faults.

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Robust adaptive active fault‐tolerant control of UAH with unknown disturbances and actuator faults

Cited by 11 publications

References 38 publications

Finite-time observer–based robust fault estimation for nonlinear systems

Finite-time observer–based robust fault estimation for nonlinear systems

Composite attitude fault tolerant tracking control for flexible satellite with time delay

Actuator Faults Estimation for a Helicopter UAV in the Presence of Disturbances

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