The aim of this paper is to present an optimized control applied on the doubly fed induction generator DFIG used in wind turbine. We introduce a mathematical model of the DFIG written in d-q reference frame based on equations expressing the currents of the machine according to the stator and rotor voltages, then, we propose a direct power control based on an adaptive neural fuzzy sliding controller optimized by genetic algorithm. The obtained simulation results show the increasing interest of such technique of control in the electric systems.

Keywords: Doubly fed induction generator (DFIG), Neural network, Fuzzy logic controller (FLC), Genetic algorithm (G.A.)