Adaptive Input-Output Feedback Linearization Control of Doubly-Fed Induction Machine in Wind Power Generation

Abstract

The present paper aims to present an adaptive, nonlinear control of wind energy conversion system using doubly fed induction generator (DFIG). The aim is to track the optimal torque-speed characteristic of the wind turbine in order to extract the maximum power, as well as to control the reactive power transmitted to the electrical grid. The adaptive nonlinear controller is designed on the basis of input-output feedback linearization control (FLC) with the full order model of the DFIG in the fixed stator d, q axis reference frame. In order to ensure the system stability under uncertain parameters such as rotor and stator windings resistances and the aerodynamic torque which comes to compromise the robustness and the efficiency of the controller, update laws in real time of the uncertain parameters are established. The global stability of the system is proven using Lyapunov's stability theory. Simulation results have been carried out in Matlab/Simulink in presence of uncertain parameters also, the comparison between the control with and without adaptation confirm the validity and robustness of proposed controller.