小波变换在伺服系统信号处理中的应用研究
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摘要
以大功率机电伺服系统为研究背景,通过研究小波变换特性,分别选用Daubechies小波和Symlets小波,在某固体火箭发动机柔性喷管负载条件下进行典型伺服系统特性试验,对实测相电流信号进行小波去噪。用不同的小波阈值去噪方法进行多组仿真分析,对不同工作状态下相电流信号进行小波分解和去噪处理,以信噪比、均方根误差为衡量标准,比较了采用不同去噪方法时相电流信号的去噪效果。
With the background of high-power machine-electrical servo system,after investigating the characteristics of wavelet transform,Daubechies wavelet and Symlets wavelet are selected for processing the current signal in the servo driver under the typical servo system experiment of certain solid rocket. The phase current is gathered as the wavelet-denoising object. Then the actual phase current of different conditions is denoised by using wavelet method. Simulation analyses are carried out by using different wavelet threshold de-noising methods. SNR( signal-to-noise ratio) and RMSE( root-mean-square error) are taken as two criteria for estimating the effect of different wavelet-denoising methods.
With the background of high-power machine-electrical servo system,after investigating the characteristics of wavelet transform,Daubechies wavelet and Symlets wavelet are selected for processing the current signal in the servo driver under the typical servo system experiment of certain solid rocket. The phase current is gathered as the wavelet-denoising object. Then the actual phase current of different conditions is denoised by using wavelet method. Simulation analyses are carried out by using different wavelet threshold de-noising methods. SNR( signal-to-noise ratio) and RMSE( root-mean-square error) are taken as two criteria for estimating the effect of different wavelet-denoising methods.
引文
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[2]王慧琴.小波分析与应用[M].北京:北京邮电大学出版社,2011.WANG Hui-qin.Wavelet Analysis and Application[M].Beijing:Press of Beijing University of Posts and Telecommunications,2011.
[3]刘志松.基于小波分析的信号去噪方法[J].浙江海洋学院学报:自然科学版,2011,30(2):150-154.LIU Zhi-song.Signal-Denoising Method Based on Wavelet Analysis[J].Journal of Zhejiang Maritime Academy:Natural Science Edition,2011,30(2):150-154.
[4]赵君.小波降噪的DSP嵌入式准实时实现研究[D].西安:西北工业大学,2007.ZHAO Jun.Research of Embedded DSP Real Time Wavelet-Denoising[D].Xi’an:Northwestern Polytechnical University,2007.
[5]李海东,李青.基于阈值法的小波去噪算法研究[J].计算机技术与发展,2009,19(7):56-58.LI Hai-dong,LI Qing.Wavelet-Denoising Algorithm Research Based on Threshold Method[J].Computer Technology and Development,2009,19(7):56-58.
[6]飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005.Research and Development Center of Freescale.Theory of Wavelet Analysis and realization in MATLAB7[M].Beijing:Publishing House of Electronics Industry,2005.
[7]吴勇.基于小波的信号去噪方法研究[D].武汉:武汉理工大学,2007.WU Yong.Research of Signal-Denoising Method Based on Wavelet[D].Wuhan:Wuhan University of Technology,2007.
[8]尹喜超.基于小波变换的信号消噪[D].保定:华北电力大学,2004.YIN Xi-chao.Signal-Denoising Based on Wavelet[D].Baoding:North China Electric Power University,2004.
[9]张翠芳.基于小波变换的信号降噪技术的研究[D].南京:南京邮电大学,2002.ZHANG Cui-fang.Research of Signal-Denoising Technique Based on Wavelet[D].Nanjing:Nanjing University of Posts and Telecommunications,2002.
[10]王琼.基于小波变换信号去噪方法的研究[D].成都:西华大学,2006.WANG Qiong.Research of Signal-Denoising Method with Wavelet[D].Chengdu:Xihua University,2006.
[11]张佃昌.小波技术在信号重构及去噪中的应用研究[D].济南:山东大学,2007.ZHANG Dian-chang.Research and Application of Signal Reconstruction and Denoising with Wavelet[D].Jinan:Shandong University,2007.
[12]高彩红,李天博,钱坤喜,等.基于MATLAB的心电去噪中小波基选取研究[J].微计算机信息,2010,26(7-1):222-223.GAO Cai-hong,LI Tian-bo,QIAN Kun-xi,et al.Research of Choosing Wavelet in Electrocardio-Denoising Based on MATLAB[J].Micro-computer Information,2010,26(7-1):222-223.
[13]吴伟,蔡培升.基于MATLAB的小波去噪仿真[J].信息与电子工程,2008,6(3):220-221.WU Wei,CAI Pei-sheng.Simulation of Wavelet-Denoising with MATLAB[J].Information and Electronic Engineering,2008,6(3):220-221.