Actuator fault estimation and fault tolerant control for vehicle lateral dynamics

Youssfi, Naoufal El; Oudghiri, Mohammed; Bachtiri, Rachid El

doi:10.1063/1.5090644

Cited by 2 publications

(5 citation statements)

References 22 publications

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“…Firstly, we propose a fault‐tolerant control (FTC) strategy based on an adaptive observer for descriptor systems capable of handling time‐varying actuator faults and disturbances. This surpasses some prior works that exclusively addressed non‐singular systems, as seen in References 46‐48, and also goes beyond certain earlier studies that focused on fault estimation (FE) and FTC solely in the context of less challenging sensor faults 49,50 . Secondly, in contrast to References 51,52, which did not account for disturbances in their control system analysis, our proposed FTC approach demonstrates robustness in the presence of external disturbances.…”

Section: Discussionmentioning

confidence: 52%

“…This section presents the FTC mechanism (47), using the reconstructed fault information f (t) provided by the observer. This section aims to deal with the problem of observer-based control design of T-S Descriptor System (2).…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…where K i ∈ R n u ×n x ares the controller gain matrices to be determined. Substituting (47) in (2), we get the following closed-loop system:…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…The observer-based fault-tolerant control (47) stabilizes the state of the T-S descriptor system (2), if the following theorem is satisfied. Theorem 2.…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…So, control law (47) and the observer (17) stabilizes and observes the T-S fuzzy system (2), if the following conditions hold:…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

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T‐S fuzzy observer and actuator fault‐tolerant controller designs for descriptor systems

El Youssfi,

Zoulagh,

El Aiss

et al. 2023

Adaptive Control & Signal

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SummaryThis work focuses on designing an observer to measure states and actuator faults as well as fault‐tolerant control (FTC) for fuzzy Takagi–Sugeno (T–S) singular systems. An enhanced system is built by creating a new vector from the system state and the actuator faults. The first task is simultaneously to estimate system states and actuator faults with an adaptive observer. Then, in order to get a stabilized faulty singular system, we conceive an observer based on FTC. Using Lyapunov's approach, a linear matrix inequalities (LMIs) feasibility problem is formulated to provide the controller and the observer gains. Compared with previous studies, the proposed method significantly simplifies the design and simultaneously provides the controller and the observer gains in one step. Finally, three examples are given to demonstrate the effectiveness of the proposed control.

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Section: Discussionmentioning

confidence: 52%

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…where K i ∈ R n u ×n x ares the controller gain matrices to be determined. Substituting (47) in (2), we get the following closed-loop system:…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…The observer-based fault-tolerant control (47) stabilizes the state of the T-S descriptor system (2), if the following theorem is satisfied. Theorem 2.…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

“…So, control law (47) and the observer (17) stabilizes and observes the T-S fuzzy system (2), if the following conditions hold:…”

Section: One-step Observer-based Fault-tolerant Control Designmentioning

confidence: 99%

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