基于MPC-RBF控制的大型风电机组独立变桨控制策略  

Individual pitch control strategy for large wind turbines based on MPC-RBF control

作　　者：王欣[1] 李毓明 秦斌[1] Wang Xin;Li Yuming;Qin Bin(School of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou 412007,China)

机构地区：[1]湖南工业大学电气与信息工程学院,湖南株洲412007

出　　处：《可再生能源》2025年第2期225-232,共8页Renewable Energy Resources

基　　金：湖南省自然科学基金项目(2018JJ4070,2022JJ50074)。

摘　　要：针对风机在额定风速以上工况下运行时所承受的不平衡载荷,文章提出了一种将径向基函数(Radial Basis Function,RBF)神经网络与模型预测控制(Model Predictive Control,MPC)相结合的MPC-RBF独立变桨距控制策略。通过风电机组动力学方程与坐标变换建立了适用于控制器设计的平均周期状态空间模型。在卡尔曼状态观测器的基础上,使用模型预测控制即时调整风机桨距角,RBF控制器抑制载荷,进而设计出所需的独立变桨控制器。以NERL 5 MW风电机组平台为例,分别分析在湍流风作用下基于比例积分(PI),MPC以及MPCRBF独立变桨控制策略的载荷特性以及运行特性。仿真结果显示,采用MPC-RBF能有效地降低载荷,提高风机的运行寿命,且对功率波动有较好的抑制效果。Aiming at the unbalanced load that the wind turbine is subjected to when it operates above the rated wind speed,an independent pitch control strategy that combines the Radial Basis Function(RBF)neural network and Model Predictive Control(MPC)is proposed.A mean-period state-space model suitable for controller design is established by means of wind turbine dynamics equations and coordinate transformations.On the basis of Kalman state observer,the model predictive control is used to adjust the pitch angle of the wind turbine instantaneously and the RBF controller to suppress the loads,and then the required independent pitch controller is designed.Taking the NERL 5 MW wind turbine platform as an example,the load characteristics of the independent pitch control strategies based on Proportional Integral(PI),MPC,and MPCRBF are analysed under turbulent winds,as well as their operating characteristics.Simulation results indicate that the method can reduce the load efficiently,improve the operating life of the wind turbine,and have a better suppression effect on the power fluctuation.

关 键 词：风电机组 减载 独立变桨控制 模型预测控制 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程]