Optimized ANN-Based Dynamic Rotor Speed Control for Floating Offshore Wind Turbines in High Wind Speeds

Abstract— The offshore wind turbines are exposed to wide
range of fluctuating and unpredictable wind conditions. The
dynamics of floating wind turbine platforms lead to increased
mechanical stresses on the rotor of wind turbine. To solve these
problems, a new approach has been developed using Artificial
Neural Networks (ANN) for Dynamic Control of Rotor Speed
for Floating Wind Turbines (FOWT). This control method
combines pitch control using the angle of the blades and
generator power control using a DFIG with three-phase PWM
rectifier/inverter combination. ANN pitch control maintains
the optimal rotor speed in real time and a PI controller
maintains the voltage across the DC link, as well as controlling
both active and reactive power. Simulation results show that
currents and voltages stabilised very quickly and that the
proposed controller achieved a rising time at 0.002 s and
settling time at 0.05 s, demonstrating a very fast, stable, and
efficient FOWT operation.