The interest in the variable speed wind turbines has increased due to their very attractive features. The fundamental feature of the DFIG is that the power processed by the power converter is only a fraction of the total wind turbine power, and therefore its size, cost and losses are much smaller compared to a full-scale power converter. The aim of the control strategy is usually to maximize the output power, maximize efficiency of energy conversion besides minimizing output power oscillations or minimizing wear of the mechanical components of the power plant, e.g., train drives, while maximizing the economic profit. Many different topologies have been proposed to achieve the desired speed control on wind generators. Among the various controllers considered based on classical control theory like PI controllers and nonlinear controllers based on Fuzzy logic PI controller using Fuzzy logic, Heuristic algorithm, Genetic Algorithm, Swarm optimization and Sliding Mode controllers were compared. It has been observed that among various controllers the fully fuzzy scheme was best in terms of stabilization times and reduction in asymmetries. However from the tuning of PI controller the swarm optimization technique is best suited for optimizing the parameters of the controller.