Doppler Characteristics of Wind Turbine Blade Based on Dynamic RCS
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Doppler Characteristics of Wind Turbine Blade Based on Dynamic RCS
Vol. 43, Issue 10, Pages: 3435-3442(2017)
作者机构:
1. 三峡大学电气与新能源学院
2. 中国电力科学研究院
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 October 2017,
Published:2017
稿件说明:
移动端阅览
TANG Bo, LIU Ren, ZHANG Jiangong, et al. Doppler Characteristics of Wind Turbine Blade Based on Dynamic RCS[J]. 2017, 43(10): 3435-3442.
DOI:
TANG Bo, LIU Ren, ZHANG Jiangong, et al. Doppler Characteristics of Wind Turbine Blade Based on Dynamic RCS[J]. 2017, 43(10): 3435-3442.DOI:
Doppler Characteristics of Wind Turbine Blade Based on Dynamic RCS
摘要
风电机叶片动态旋转对雷达信号产生的多普勒效应
是邻近雷达台站识别风电场杂波的重要依据。现有研究手段由于难以获得精准的风电机叶片雷达回波仿真信号
进而无法获取准确的多普勒频谱。为此
避开风电机叶片雷达回波精准仿真的难题
通过叶片多普勒效应的产生机理研究
提出了一种通过叶片动态雷达散射截面(RCS)求解多普勒频谱的思想
即基于成熟的电大尺寸目标动态RCS精确求解技术
采用准静态法
运用物理光学法(PO)和等效电磁流法(ECM)构成的混合算法
获得叶片运动状态下的RCS时域曲线
最后利用短时傅里叶变换(STFT)得到叶片的多普勒频谱。基于该方法
计算并分析了风电机叶片在旋转、变矩、挥舞及倾斜等工况下的多普勒特性
为风电机雷达目标信号的识别、雷达散射截面的缩减
以及雷达侧风电场杂波的抑制提供参考。
Abstract
The Doppler effect caused by the dynamic rotation of the wind turbine blades is an important evidence for the identification of the wind farm clutter from the nearby radar stations.It is the difficult to obtain accurate radar echo signal of wind turbine blade by the existing methods
thus the accurate Doppler spectrum cannot be obtained.Consequently
the problem of accurate simulation of radar echo for wind turbine blades is avoided
and a new idea is proposed to solve the Doppler spectrum by using the dynamic RCS of the blade through the study of the mechanism of the Doppler effect.Based on the matured dynamic RCS exact solution techniques of electrically large size targets
the time domain RCS curve of blades in dynamic motion state is obtained with the quasi static method
using the hybrid algorithm of physical optics method(PO) and of equivalent currentsmethod(ECM).Based on this method
calculation and analysis of the wind turbine blades Doppler characteristics in the rotation
torque
waving and tilt conditions provide a reference for the recognition for radar target signal of wind turbine
the reduction of radar cross section(RCS)
and wind farm clutter suppression of the nearby radars.