Patent 9347430 was granted and assigned to King Fahd University of Petroleum and Minerals on May, 2016 by the United States Patent and Trademark Office.
The adaptive pitch control system for wind generators is utilized in variable speed doubly fed induction generator (DFIG) systems. An adaptive neural network generates optimized controller gains for pitch control. The pitch controller parameters are generated using intelligent differential evolution, a type of genetic algorithm. A back propagation neural network is trained using the generated pitch controller parameters, thereby tuning the weights of the network according to the system states in a variable wind speed environment.