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 |
2016 |
Chouiref, H.; Boussaid, B.; Abdelkrim, M. N.; Puig, V.; Aubrun, C. Validation of wind turbine LPV model Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781467392341, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Automated generation; Linear parameter varying models; Linear time-invariant system; Local approximation; Nonlinear system modeling; Simulation response; Transformation methods; Wind turbine systems, Automation; Benchmarking; MATLAB; Nonlinear systems; Process control; Real time systems; Wind power, Wind turbines @conference{Chouiref2016684,This work describes and validate a Linear Parameter Varying (LPV) model of a real benchmark of wind power system. With a nonlinear model of this process, the use of identification and control concepts for linear model as developed in the literature isn’t useful to be used. So that, the nonlinear systems are approximated to Linear Time Invariant (LTI) systems, that is a local approximation of real system. To take account of the nonlinearity and using the linear approaches developed, a linear parameter varying modeling is required. The nonlinear model is transformed to an LPV one using the automated generation method for affine LPV representations. This method consists of generating an LPV model where the nonlinearities are hidden in the vector of parameters. Then, this transformation method is applied to a wind turbine system to get an LPV model for this benchmark system. Finally, the implementation of this LPV benchmark model on Matlab is done and good results are obtained since the LPV simulation responses achieve the nonlinear system model ones that prove the effectiveness and performance of this modeling approach. © 2015 IEEE. |
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). |
2016 |
Validation of wind turbine LPV model Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781467392341, (cited By 0). |