基于动态RCS的风电机叶片多普勒特性

发布时间：2018-01-15 14:37

本文关键词：基于动态RCS的风电机叶片多普勒特性　出处：《高电压技术》2017年10期 　论文类型：期刊论文

【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]:Doppler effect of dynamic rotation of wind motor blade on radar signal. It is an important basis for wind farm clutter identification by adjacent radar stations. Due to the difficulty of obtaining accurate simulation signal of wind motor blade radar echo, the existing research means can not obtain accurate Doppler spectrum. In order to avoid the difficult problem of accurate simulation of blade radar echo, an idea of calculating Doppler spectrum by blade dynamic radar cross section (RCSs) is proposed by studying the generation mechanism of blade Doppler effect. That is, based on the mature accurate solution technology of dynamic RCS of electrically large size target, the hybrid algorithm is composed of quasi-static method, physical optics method and equivalent electromagnetic current method. The RCS time-domain curves under the moving state of the blade are obtained. Finally, the Doppler spectrum of the blade is obtained by STFT. Based on this method, the rotation and torque conversion of the blade of the wind motor are calculated and analyzed. The Doppler characteristics under swing and tilt provide a reference for the recognition of radar target signal the reduction of radar cross section and the suppression of clutter in wind farm.
【作者单位】：三峡大学电气与新能源学院;中国电力科学研究院;
【基金】：电网环境保护国家重点实验室基金(GYW51201700590) 国家电网公司科技项目(GY71-16-011)~~
【分类号】：TM315
【正文快照】： 0引言1随着风电场的日益增多,风电场与雷达台站之间不可避免地产生了越来越突出的电磁干扰问题。相比而言,前者几乎不受后者的干扰,而后者受前者的干扰很大,主要体现为有源干扰和无源干扰[1-2]。当前,风电机对雷达的有源干扰较易解决[3],而无源干扰的解决则困难重重。目前,国

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