Adaptive neural universal tracking control for high-order nonaffine varied-speed wind turbine system

This paper investigates the adaptive neural network (NN) tracking control of a class of high-order nonaffine nonlinear wind turbine system. Firstly, the nonlinear wind turbine model was built and the nonaffine wind energy conversion system was converted into an affine system through a novel system transformation. The transformed system becomes linear with respect to the new input while the traditional backstepping approach was not needed, by this means the synthesis to be extremely simplified. Then the adaptive neural universal tracking control algorithm was adopted to local controller for system model. Finally, a numerical simulation was given to illustrate the implementation and effectiveness of the proposed methods.