Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control

Abstract This work focuses on the control of pitch angle wind turbines. is not an easy task due to nonlinearity, complex dynamics, and coupling between variables these renewable energy systems. even harder for floating offshore turbines, as they are subjected extreme weather conditions disturbances waves. To solve it, we propose a hybrid system that combines fuzzy logic deep learning. Deep learning techniques used estimate current forecast future wind. Estimation forecasting combined obtain effective which feeds controller. Simulation results show how including improves performance intelligent controller different disturbances. For low medium speeds, improvement 21% obtained respect PID controller, 7% standard In addition, intensive analysis has been carried out influence configuration parameters in training system. It shown increasing number hidden units training. However, cells while keeping total decelerates