Title :
Robust Fuzzy Fault-Tolerant Control of Wind Energy Conversion Systems Subject to Sensor Faults
Author :
Kamal, Elkhatib ; Aitouche, Abdelouahab ; Ghorbani, Reza ; Bayart, Mireille
Author_Institution :
LAGIS, Lille Univ. Nord of France, Villeneuve-d´´Ascq, France
fDate :
4/1/2012 12:00:00 AM
Abstract :
In this paper, we propose a multiobserver switching control strategy for robust active fault tolerant fuzzy control (RAFTFC) of variable-speed wind energy conversion systems (WECS) in the presence of wide wind variation, wind disturbance, parametric uncertainties, and sensors faults. The Takagi-Sugeno (TS) fuzzy model with parametric uncertainties is adopted for modeling the nonlinear WECS and establishing fuzzy state observers. Sufficient conditions are derived for robust stabilization in the sense of Taylor series stability and are formulated in linear matrix inequalities (LMIs). Application to WECS, subject to uncertain parameters and sensor faults illustrate the effectiveness of the proposed controllers.
Keywords :
fault tolerance; fuzzy control; linear matrix inequalities; observers; power generation control; power generation faults; robust control; wind power plants; LMI; RAFTFC; TS fuzzy model; Takagi-Sugeno fuzzy model; Taylor series stability; fuzzy state observers; linear matrix inequalities; multiobserver switching control strategy; nonlinear WECS modeling; parametric uncertainties; robust active fault tolerant fuzzy control; robust stabilization; sensor faults; variable-speed wind energy conversion systems; wind disturbance; wind variation; Fuzzy control; Generators; Observers; Robustness; Torque; Uncertainty; Wind turbines; Fault detection and isolation (FDI); Takagi-Sugeno (TS) fuzzy model; fault-tolerant control; fuzzy controller; fuzzy observer; linear matrix inequalities (LMIs); parameters uncertainties; robust control; sensor faults; wind turbine control;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2011.2178105