reliance on new and renewable sources of energy has grown in order to obtain electric power without the use of traditional fossil fuel sources. And thus solve the problems of the global energy crisis and also maintain a clean environment, through the fight against the dangers of global warming and its negative results Wind power is considered as one of the most important of these alternative energies. We will work in this research in order to be able to control wind turbine with variable speed through pitch angle control in order to organize power and control the rotational speed in order to make the power ideal. Where we will be using a fuzzy controller to control pitch angle instead of the traditional controllers, which is expected to improve system response and provide ease in the application and modification and reduction in the cost. By reference study we came to the result showing that most previous studies in advanced wind energy systems have addressed to control wind turbine using conventional controllers from PI or PID type. Show we have the problem of the need to know the exact mathematical model of the system. Where traditional controllers of wind turbines that operate at variable speed are based on mathematical models which may be complex and non-linear and neglect often physical phenomena, for example, magnetic saturation which leads to complexity in the calculation and unexpected performance of the driven system. The proposed research aims to provide a complete study through modeling and simulation using the Matlab about the use of fuzzy controller to control the wind turbine where traditional controllers of type PI will be designed to control the pitch angle and to control the rotational speed and fuzzy PI controllers to control the pitch angle. Results will be get and discussed and conclusion will be extracted from them. Research Results showed that the fuzzy control improves transient state behavior, but the steady-state behavior is better controlled when we use PI controller. So and based on the result we got, the PI controller can't be replaced actually with the fuzzy controller.