A new robust observer design for nonlinear systems with application to fault diagnosis

Zemzemi, Ammar; Kamel, Mohamed S.; Toumi, Ahmed; Farza, M.

doi:10.1177/0142331217731621

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…Remark 8: The authors in Zemzemi et al (2018) have studied only the estimation problem for the single-link flexible joint robot. However, the main objective of industrial researches is to ensure the stability in closed-loop system.…”

Section: Illustrative Examplesmentioning

confidence: 99%

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Makni

Bouattour

Chaabane

2020

Transactions of the Institute of Measurement and Control

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In this work, we investigate the problem of control for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models affected by both sensor and actuator faults subject to an unknown bounded disturbances (UBD). For this, we design an adaptive observer to estimate state, sensor and actuator fault vectors simultaneously despite the presence of external disturbances. Based on this observer, we develop a fault tolerant control (FTC) law not only to stabilize closed loop system, but also to compensate the fault effects. For the observer-based controller design, we propose less conservative conditions formulated in terms of linear matrix inequalities (LMIs). Moreover, both observer and controller gains are calculated via solving a set of LMIs only in single step. Finally, comparative results and an application to single-link flexible joint robot are afforded to prove the efficiency of the proposed design.

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Section: Illustrative Examplesmentioning

confidence: 99%

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Makni

Bouattour

Chaabane

2020

Transactions of the Institute of Measurement and Control

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“…Liang et al (2021) studied the problem of fault diagnosis for discrete-time systems with disturbances and designed an unknown input observer to make it robust to external disturbances in the non-decoupled part. Zemzemi et al (2018) proposed a robust fault detection scheme by combining unknown input observer and synovial observer, considering the uncertainties and external disturbances of the system. In short, many scholars have made great contributions to the fault diagnosis of industrial systems in past research, but some problems need to be solved urgently.…”

Section: Introductionmentioning

confidence: 99%

Multi-fault diagnosis scheme based on robust nonlinear observer with application to rolling mill main drive system

Zhang

2022

Transactions of the Institute of Measurement and Control

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A fault diagnosis solution is proposed in this article for the uncertainty and external disturbance problems in the main drive system of a rolling mill based on analytical redundancy. Considering the nonlinear friction damping, a system is mathematically modeled, and a bank of nonlinear Luenberger observers is designed. The generalized residual set theory is used to isolate two typical fault types of the system. To optimize the anti-disturbance ability of the observer, the disturbance attenuation factor is introduced. The influence of external disturbance on fault estimation is reduced by adjusting the disturbance attenuation factor. Using Lyapunov stability theory, the convergence analysis of the observer dynamic error equation is provided. The observer gain is obtained through resolving the optimality issue under the linear matrix inequality constraint. Numerical simulations of a 2030-mm tandem cold rolling mill were conducted to demonstrate the practicability of the approach. This fault diagnosis scheme is important to improve the stability of system operation.

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A new approach for robust fault estimation in nonlinear systems with state-coupled disturbances using dissipativity theory

2021

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A new robust observer design for nonlinear systems with application to fault diagnosis

Cited by 4 publications

References 42 publications

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Robust fault tolerant control based on adaptive observer for Takagi-Sugeno fuzzy systems with sensor and actuator faults: Application to single-link manipulator

Multi-fault diagnosis scheme based on robust nonlinear observer with application to rolling mill main drive system

A new approach for robust fault estimation in nonlinear systems with state-coupled disturbances using dissipativity theory

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