2022 |
Lamouchi, Rihab; Amairi, Messaoud; Raïssi, Tarek; Aoun, Mohamed Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system Article de journal Dans: European Journal of Control, vol. 67, 2022, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Linear parameter varying systems, Linear systems, L∞ norm, System stability, Uncertainty analysis, Wind turbine systems, Wind turbines, Zonotopic technique, ∞norm @article{Lamouchi2022g,This paper deals with the design of an Active Fault Tolerant Control (AFTC) approach for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation method is developed by integrating robust observer design with zonotopic techniques. The proposed observer is developed using L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the estimation. Then, an AFTC strategy is used to compensate actuator fault effect and maintain system stability. Finally, the effectiveness of the proposed method is demonstrated by a case study on a 4.8MW wind turbine benchmark system. © 2022 European Control Association |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control, Actuator fault, Actuator fault estimation, Actuators, Discrete time, Discrete time control systems, Discrete-time linear parameter-varying system, Fault estimation, Fault tolerance, Faulting, Interval observers, Linear parameter varying systems, Linear systems, L∞ norm, State feedback, Uncertainty analysis, ∞norm @article{Lamouchi2022h,This paper proposes an active Fault Tolerant Control (FTC) scheme for polytopic uncertain Linear Parameter-Varying (LPV) systems subject to uncertainties and actuator faults. First, a fault estimation interval observer is designed to estimate the system state and the actuator fault. A novel approach is developed using the L∞ norm to attenuate the effects of the uncertainties and to improve the accuracy of the proposed observer. Then, based on the fault estimation information, the FTC strategy is designed using a linear state feedback control law and H∞ technique to compensate actuator faults and maintain system performance and stability, even under faulty conditions. Finally, the effectiveness of the proposed method is demonstrated by its application to a vehicle lateral dynamic nonlinear model. © 2022 Elsevier B.V. |
2019 |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits @conference{Atitallah2019399b,This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits @conference{Atitallah2019399,This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
2018 |
Lamouchi, Rihab; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems Conférence vol. 51, no. 24, 2018, (Cited by: 5; All Open Access, Bronze Open Access, Green Open Access). Résumé | Liens | BibTeX | Étiquettes: Actuators, Discrete time linear parameter varying (LPV) system, External disturbances, Fault estimation, Interval observers, Linear parameter varying systems, Linear systems, Lower and upper bounds, LPV systems, Parameter estimation, Unknown input observer @conference{Lamouchi20181199b,This work is devoted to fault estimation of discrete-time Linear Parameter-Varying (LPV) systems subject to actuator additive faults and external disturbances. Under the assumption that the measurement noises and the disturbances are unknown but bounded, an interval observer is designed, based on decoupling the fault effect, to compute a lower and upper bounds for the unmeasured state and the faults. Stability conditions are expressed in terms of matrices inequalities. A case study is used to illustrate the effectiveness of the proposed approach. © 2018 |
Publications
2022 |
Active fault tolerant control using zonotopic techniques for linear parameter varying systems: Application to wind turbine system Article de journal Dans: European Journal of Control, vol. 67, 2022, (Cited by: 3). |
On interval observer design for active Fault Tolerant Control of Linear Parameter-Varying systems Article de journal Dans: Systems and Control Letters, vol. 164, 2022, (Cited by: 5). |
2019 |
Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). |
Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). |
2018 |
Interval Observer Design for Actuator Fault Estimation of Linear Parameter-Varying Systems Conférence vol. 51, no. 24, 2018, (Cited by: 5; All Open Access, Bronze Open Access, Green Open Access). |