Intelligent Control of WECS subject to Parameter Uncertainties, Actuator and Sensor Faults

Elkhatib Kamal (1) , Abdel Aitouche (1) , Reza Ghorbani (2) , Mireille Bayart (1)

1 STF - Systèmes Tolérants aux Fautes
2 Mechnaical Engineering Laboratory

This paper proposes the robust fuzzy fault tolerant control (FTC) problem for the fuzzy Takagi-Sugeno (TS) systems with sensor faults and actuator faults in the presence of parameter uncertainties. The TS fuzzy model is first employed to approximate a nonlinear uncertain system, and then the fuzzy sensor fault, fuzzy actuator fault model and the fuzzy state observer are developed. Sufficient stabilization conditions of the fuzzy FTC systems are given, which are formulated in terms of linear matrix inequalities (LMIs). The LMIs can be efficiently solved using the convex optimization techniques. Finally, fuzzy observer based on fuzzy fault tolerant controller is developed. It is proved that the fuzzy control system is reliable in the sense of that the closed-loop system is asymptotic stability and the all sensor and actuator components can operate well in the presence of some component failures. The control scheme is tested for real profiles of wind speed pattern and provides satisfactory results

Mots clés: FTC; fuzzy observer; TS fuzzy model; wind energy conversion system

Domaines: Automatique / Robotique

Elkhatib Kamal, Abdel Aitouche, Reza Ghorbani, Mireille Bayart. Intelligent Control of WECS subject to Parameter Uncertainties, Actuator and Sensor Faults. Control and Intelligent Systems,, 2012, 40 (3), pp.1-9. ⟨10.2316/Journal.201.2012.3.201-2350⟩. ⟨hal-00742122⟩