Robust takagi sugeno fuzzy models control for a variable speed wind turbine based a DFI-generator

Abstract

This paper proposes a robust fuzzy logic method based on the Takagi-Sugeno fuzzy controller model. In fact, this one is designed in order to control a Doubly-Fed Induction Generator (DFI-Generator) for the variable wind speed turbine. On the one hand, the main aim of the proposed strategy is the real-time tracking of optimal operating point, extracting the maximum output power, and controlling the pitch. This later is applied in order to limit the output power of the system to its nominal value. On the other hand, the proposed controller can extract the maximum of power under variable wind speed. While the existing methods deals with the case of the fixed wind speed. Thus, in this case, the controller can diverge and cause considerable drop of power, whenever the wind speed is changed. Moreover, the proposed control strategy can increase the efficiency and improve the tracking performance of the system. The model is established based on the Parallel Distributed Compensation technique. The stability and tracking analysis properties are ensured by using the Lyapunov approach theory. In addition, the feedback gains of the strategy controller proposed are determined by Linear Matrix Inequalities. A numerical simulation is carried out under Matlab software for comparing the proposed Takagi-Sugeno fuzzy controller with the conventional PI controller. Effectively, these both controllers are applied to controlling the efficiency of the 3 MW DFI-Generator based on Wind Energy Conversion System in order to test their tracking performances and robustness against rapid changes of the reference signal and for testing the proposed controller strategy as well. Indeed, the simulation results prove the robustness of the proposed controller and show the drawbacks of PI controller, which makes high overshoot under the rapid changes of the reference that can reach 20A in the worst cases. While, the proposed controller strategy tracks rapidly accurately and without any overshoot, the reference signal.