Integrated design of robust fault estimation and fault‐tolerant control against simultaneous actuator and sensor faults

Mu, Yunfei; Zhang, Huaguang; Zhang, Kun; Ren, He

doi:10.1002/asjc.2201

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…In [31], simultaneous reconstruction of the actuator and sensor fault was addressed by extending the sensor fault as an auxiliary state vector. In [32], simultaneous estimation of the actuator and sensor faults was studied by reconfiguring the actuator fault and sensor fault into a new singular system model. In [33], an augmented system was designed based on the faults and original system states to construct the unknown input robust observer.…”

Section: Introductionmentioning

confidence: 99%

Intermediate observer based simultaneous estimation of system states and multiple faults

Jun

Chen

et al. 2023

IET Control Theory & Appl

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In this paper, an intermediate observer is proposed for simultaneously estimating the system state, actuator fault and sensor fault. The necessary and sufficient condition is given with respect to the existence of the designed observer. The observer gain matrix is guaranteed through solving Riccati inequalities. The estimation errors of the system state, actuator fault and sensor fault are proved to be globally uniformly stable with the prescribed performance index. Finally, a simulation study is given to verify the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Intermediate observer based simultaneous estimation of system states and multiple faults

Jun

Chen

et al. 2023

IET Control Theory & Appl

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“…In [10], a new reverse-order multi-objective evolution algorithm (MOEA) was proposed for complex FTC problems based on multi-objective observers. In [11], FE and FTC were performed on the systems where actuator and sensor faults occur. The descriptor observer and the proportional, multiple-integral, and derivative observer were considered respectively in [12,13], which can redraw the system state and faults simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Dynamic observer‐based fault estimation and fault‐tolerant control for switched stochastic systems with multiple faults

Zhang,

Han,

Liu

et al. 2023

Asian Journal of Control

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The fault estimation (FE) and fault‐tolerant control (FTC) problems are studied for the switched system with sensor fault, actuator fault, and stochastic noise. The dynamic FE observers are used to reconstruct the system states and faults at the same time. Differently from the classical observer design method, in the process of observers design, both the output information and its derivative are introduced to improve the estimation performance, especially in the case of the systems subject time‐varying fault. Based on the coordinate transformation, the output derivative is not appeared in the observers, which means that the proposed dynamic observers can be used for the cased that the output derivative is unmeasured. Utilizing the estimate information, the observer‐based FTC scheme is given. For any switching signal, the linear matrix inequality (LMI) conditions are provided, which can ensure that the entire system is mean‐square exponentially stable (MSES). Finally, simulation examples show the effectiveness of the observer and controller.

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Robust Fault Estimation and Fault‐Tolerant Control for a Class of Fuzzy Singularly Perturbed Systems With State Time Delay Based on Learning Observer

Liu,

Sun,

Huang

et al. 2024

Adaptive Control & Signal

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This article studies the problem of fault estimation (FE) and dynamic output fault‐tolerant control (DOFTC) for a class of Takagi–Sugeno (T–S) fuzzy singularly perturbed systems (SPSs) which subject to time delay, external disturbance and actuator fault. A new fault estimation and fault‐tolerant control scheme was proposed and designed for the influence of the change of perturbation parameter on the singularly perturbed system. This scheme adopts the Takagi–Sugeno (T–S) fuzzy model, learning observer and dynamic output feedback fault‐tolerant mechanism, so that the system has multi‐time‐scale dynamic stability. The results show that this method has more accurate estimation effect, faster convergence speed, and very fast steady‐state response of fault‐tolerant control when faults occur. Furthermore, when constructing the Lyapunov function, the improved matrix was selected to ensure that the closed‐loop system is stable for all , and at the same time, the conservativeness of the results was reduced. Finally, the feasibility and correctness of the proposed design method were illustrated through two numerical examples.

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Integrated design of robust fault estimation and fault‐tolerant control against simultaneous actuator and sensor faults

Cited by 5 publications

References 26 publications

Intermediate observer based simultaneous estimation of system states and multiple faults

Intermediate observer based simultaneous estimation of system states and multiple faults

Dynamic observer‐based fault estimation and fault‐tolerant control for switched stochastic systems with multiple faults

Robust Fault Estimation and Fault‐Tolerant Control for a Class of Fuzzy Singularly Perturbed Systems With State Time Delay Based on Learning Observer

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