Performance improvement for large floating wind turbine by using a non‐linear pitch system based on neuro‐adaptive fault‐tolerant control

Abstract

Abstract To stabilize the power out and reduce the dynamic loads in the over‐rated state, the pitch system is key for regulating pitch angle to the desired one obtained from the command layer. Here, actuator failure of the pitch system is considered and a neural adaptive fault‐tolerant control strategy with a rate function is proposed. More specifically, a non‐linear model of the pitch system considering time‐varying parameter uncertainties and unknown disturbances is established firstly. Then, the neural network is used to counteract the external disturbance and system uncertainty. The rate function with adjustable parameters is designed to transform the error, which makes the tracking error decrease at a fast rate and converge to a small zero domain, and realize the control goal of accurate and fast tracking the desired pitch angle of the pitch system. A co‐simulation is developed, and the merits of the proposed method are verified.