Research of Torque Control in Large-Scale Wind Turbine

Abstract

PID torque damper controller was designed and PID parameters were set with RBF neural network for the torque control of large-scale variable speed pitch regulated (VSPR) wind turbine. The system state equation can be extracted by the process of modal linearization using Bladed software, then PID controller was designed, parameters optimized and verification of design test with the control system of 3MW wind turbine was taken finally. The simulation result shows that the damper controller designed reduces driving chain vibration obviously, the adaptive ability and dynamic performance of system is improved with the use of RBF neural network which makes the system with good control quality.