Adaptive Fuzzy Control for Variable Speed Wind Systems with Synchronous Generator and Full Scale Converter

Control systems for variable-speed wind turbines (WTs) are continuously evolving toward innovative and more efficient solutions. Among the various techniques, fuzzy logic is gaining reputation due to its simplicity and effectiveness. In this chapter, after a review of fuzzy logic based control applied to wind energy conversion systems, a sensorless peak power tracking control for maximum wind energy extraction and a voltage control allowing compensation of voltage variations at the WT connection point are proposed. Both the controllers are based on fuzzy logic. Before that, a data-driven design methodology is introduced, in order to generate the “best” Takagi–Sugeno–Kang fuzzy model, for the maximum power exploitation from a variable-speed wind turbine. The performance of the variable speed wind systems employing a synchronous generator and a full scale converter endowed with the proposed fuzzy controllers are tested under some common operating conditions.