Wind turbine generator yaw system H-infinity tracking control method based on enhanced Q learning

The invention relates to a wind turbine generator yaw system H-infinity tracking control method based on enhanced Q learning, and the method comprises the steps: building a mathematical model of a wind turbine generator yaw control system under the working conditions of external disturbance and uncertain system state of a wind turbine generator; and based on the mathematical model of the wind turbine generator yaw control system, designing an enhanced Q learning control method to obtain optimal control input and worst disturbance input, and based on the optimal control input and the worst disturbance input, performing yaw control on the wind turbine generator under the working conditions of external disturbance and uncertain system state. According to the control method provided by the invention, the problems of uncertain system state and external disturbance of the yaw control system of the wind turbine generator are solved. 本发明涉及一种基于强化Q学习的风电机组偏航系统H∞跟踪控制方法，在风电机组存在外界扰动和系统状态不确定的工况下，建立风电机组偏航控制系统的数学模型；基于风电机组偏航控制