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作 者:张峻宾 邹琼芬[1] 钟俊[1] 许晓斌[1] 林敬周[1] 吴友生 杨人铣 ZHANG Junbin;ZOU Qiongfen;ZHONG Jun;XU Xiaobin;LIN Jingzhou;WU Yousheng;YANG Renxi(Hypervelocity Aerodynamics Institute,China Aerodynamics Research & Development Center,Mianyang 621000,China)
机构地区:[1]中国空气动力研究与发展中心超高速空气动力研究所,四川绵阳621000
出 处:《电光与控制》2021年第9期94-97,共4页Electronics Optics & Control
基 金:国家自然科学基金(61372039,61601495);装备保障项目(SYFC170140705)。
摘 要:针对风洞模型支撑系统驱动电机功率大、现场工作环境复杂,造成天平信号受到严重的电机电磁干扰,影响试验数据精度的问题,提出了基于小波重构的天平干扰信号处理技术。首先,基于天平阶梯试验原理确定小波重构的频率阈值;然后,采用db10小波基,将信号小波分为10层;最后,对每层进行快速傅里叶变换(FFT)分析,保留1 Hz以下的信号,最终实现信号重构。通过小波重构处理技术,电磁干扰(EMI)得到了明显抑制,数据精度达到了试验精度要求。The support system of wind tunnel model has large motor power and complex operating environment,thus the balance signal is influenced seriously by motor electromagnetic interference,which may affect the accuracy of experimental data. To solve the problem,a technology for interference signal processing based on wavelet reconstruction is proposed. Firstly,the frequency threshold of wavelet reconstruction is determined based on the balance step test principle. Then,wavelet basis of db10 is used,which divides the signal wavelet into 10 layers. Analysis is made to each layer by Fast Fourier Transform( FFT) ,the signals under 1 Hz are reserved,and thus signal reconstruction is realized. Through the use of wavelet reconstruction technology,Electromagnetic Interference( EMI) is significantly suppressedand the accuracy of the processed data meets the requirement on experimental accuracy.
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