Scattering Electric Field Solution of Wind Turbine Blade Based on Scattering Center

Xinyi Zheng, B. Tang, Gang Liu, Huanghai Xie, Chaoyang Dai
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引用次数: 1

Abstract

In order to reduce the data processing of radar system and realize the real-time target recognition of wind turbines, it is necessary to find a fast solution to the scattering electric field of wind turbine blades. Aiming at the problem that the traditional electromagnetic solution algorithm needs to deal with a large amount of scattering electric field data of wind turbine blades, this paper breaks through the traditional idea of calculating electromagnetic scattering integrals in a wide area with a super-large-sized target entity as the basic unit, a method for solving the scattering electric field of a wind turbine is proposed. Based on the Undamped Exponentials (UDE) scattering center model, the Inverse Synthetic Aperture Radar (ISAR) image of wind turbine blade is constructed by Range-Doppler (R-D) algorithm. Then, using CLEAN algorithm and correlation coefficient to extract scattering center parameter set of wind turbine blade. Finally, the scattering electric field data of the scattering center is used to replace all the scattering data of the blade, and the fast solution of the scattering electric field is realized. Taking Vestas V82-1.65MW wind turbine as an example, based on the results of the moment method, the accuracy of the proposed method is 93.20%, the compression ratio of data is 76.81, and the calculation amount is 106 lower than that of the moment method.
基于散射中心的风力发电机叶片散射电场解
为了减少雷达系统的数据处理,实现对风力机目标的实时识别,有必要对风力机叶片散射电场进行快速求解。针对传统电磁求解算法需要处理风力机叶片大量散射电场数据的问题,本文突破了以超大尺寸目标实体为基本单位计算大范围电磁散射积分的传统思路,提出了一种求解风力机散射电场的方法。基于无阻尼指数(UDE)散射中心模型,采用距离多普勒(R-D)算法构建了风力发电机叶片的逆合成孔径雷达(ISAR)图像。然后,利用CLEAN算法和相关系数提取风力机叶片散射中心参数集。最后,利用散射中心的散射电场数据代替叶片的所有散射数据,实现了散射电场的快速求解。以Vestas V82-1.65MW风电机组为例,基于矩量法的结果,所提方法的准确率为93.20%,数据压缩比为76.81,计算量比矩量法减少106。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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