小波变换在伺服系统信号处理中的应用研究  

Wavelet Transform Application in Processing Current Signal in Servo System

作　　者：魏思维[1] 黄玉平[1] 郑华义[1] 

机构地区：[1]北京精密机电控制设备研究所,北京100076

出　　处：《现代防御技术》2013年第6期170-175,共6页Modern Defence Technology

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 con- ditions is denoised by using wavelet method. Simulation analyses are carried out by using different wave- let 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.

关 键 词：小波变换 阈值去噪 伺服驱动器 相电流 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391.9[电子电信—信息与通信工程]