Wind turbine control using T-S fuzzy observer

The increasing of penetration of wind energy conversion system to produce electricity lead to improve the choice of the operational control strategies. This paper deals with the modeling and control design of wind turbine using Takagi-Sugeno techniques. Due to the uncertainty wind speed measured through the anemometer, a Takagi-Sugeno observer is designed to estimate the effective wind speed. The nonlinear behavior of the wind turbine is driven through the Takagi-Sugeno fuzzy model approach based on Taylor linearized model. In order to maximize the extracted energy from the wind turbine conversion system, T-S observer combined with H-infinity performance is considered. The controller design based on Linear Matrix Inequalities (LMI) is used to ensure the stability and the robustness of the model. The effectiveness of the proposed control is tested in terms of wind turbine rotational speed relative to the estimated wind speed.