Volume 24: Sustainable Energy Solutions for a Post-COVID Recovery towards a Better Future: Part VII

Research on Neuro-Adaptive Fault-Tolerant Control method for Large Floating Wind Turbine Lei Wang, Fangjun Jin, Yang Gao, Xin Du, Zhihong Zhang, Zhiliang Xu, Jiongming Yang



The pitch system plays a key role in the large offshore wind turbine for regulating pitch angle to the desired one and hence to stabilize the power out. However, due to the uncertainty of time-varying parameters and various unknown disturbances acting on the turbine blades, accurate and rapid regulation of pitch angle can hardly be achieved using the existing available pitch control strategy. Moreover, the actuator faults of the pitch system may occur in the long-term operation of the wind turbine, which greatly reduces the reliability and power generation efficiency. Aiming at the above problems, a nonlinear model of the pitch system considering time-varying parameter uncertainties and unknown disturbances is established, based on which a neural adaptive fault-tolerant control strategy with a rate function is proposed. A co-simulation is developed, and the merits of the proposed method are verified.

Keywords Floating wind turbine, Pitch system, Fault-tolerant control, Pitch angle tracking

Copyright ©
Energy Proceedings