基于参数辨识的风电偏航系统控制器设计

The dynamic characteristics of the drive shafting system must be considered in yaw system controller design of wind power, and these parameters are often difficult to obtain and time-varying. Therefore an autoregressive model of the yaw speed control system is established by means of parameter identification method and the characteristics of the transfer function and frequency response of the system are obtained. Based on this, the PI (proportional integral) controller parameters of the yaw system are optimized to improve the static and dynamic characteristics of the yaw control system. Two parameter optimization methods are introduced, namely the PI parameter tuning method based on Ziegler-Nichols and least squares optimization. The simulation results show that the least squares optimization PI tuning method based on parameter identification can obtain better static and dynamic performance. The method has strong practicability, improves the intelligent level of wind turbine control, and can be used for automatic adjustment of wind turbine control parameters.