This paper deals with the analysis, modeling, and control of the doubly-fed induction generator (DFIG) for wind turbines. In this paper different techniques of artificial intelligence are presented for controlling the wind turbine. Focus on fuzzy logic and adaptive fuzzy inference systems (ANFIS) that combines characteristics of fuzzy logic and neural networks. In addition a Grey predictor is integrated in control scheme for predicting the wind profile. The goal of this paper is to show the possibility of using intelligent control systems into a wind turbine. The control scheme is validated using simulation results. Hence the main platform is LabVIEW which is one of the most powerful tools for simulating and implementing control systems.