知识与数据联合驱动的风力发电机叶片动态雷达散射截面统计模型

Dynamic RCS Statistical Model of Wind Turbine Blades Driven by Knowledge and Data

针对风力发电场对雷达等设备影响评估中所需风力发电机动态雷达散射截面(RCS)估计的问题,提出了一种知识与数据联合驱动的风力发电机动态RCS统计模型。首先,利用风力发电机叶片RCS随叶片旋转周期性变化的特点,建立叶片RCS单个单调变化区间内的变化函数。该变化函数由与叶片几何参数相关的峰值RCS、与叶片几何参数无关的调制函数、与材质和形状细节相关的乘性因子组成。其中峰值RCS由理论模型推算得到,针对RCS变化复杂的特点,调制函数和乘性因子利用实测训练数据估计得到。其次,对于待求解型号的风力发电机,根据风力发电机几何参数得到其叶片RCS变化函数,再通过参数估计的方法计算其概率密度函数统计模型。多种不同型号风力发电机实测数据的实验结果,验证了该文给出的风力发电机叶片动态RCS统计模型,与实测数据结果有良好的一致性。

To address the problem of dynamic Radar Cross Section(RCS)estimation of a wind turbine when assessing the wind farm impact on radars and other equipment,a dynamic RCS statistical model of wind turbines driven by knowledge and data is proposed.First,the blades’RCS variation function in a monotonic variation interval is established using the periodic variation characteristics of the wind turbine blades’RCS with the blade rotation.The variation function comprises a peak RCS related to the blade geometry,a modulation function independent of the blade geometry and a multiplicative factor related to material and shape details.The peak RCS is calculated from the theoretical model.Furthermore,the modulation function and the multiplicative factor are estimated using the practically measured training data because of the complex characteristics of the RCS variation.Second,for the estimation of a wind turbine statistical model,the blades’RCS variation function is obtained according to the geometric parameters.Then the statistical model of the probability density function is calculated using the parameter estimation method.The experimental results of the practically measured data of various types of wind turbines verify the dynamic RCS statistical model of the wind turbine blades proposed in this paper,and the model is in good agreement with the practically measured data results.