基于小波变换的拖拉机轮速信号预处理方法研究  

Research on Preprocessing Method of Tractor Wheel Speed Signal Based on Wavelet Transform

作　　者：刘尧 Liu Yao(Hebi Polytechnic,School of Mechanical Engineering,Henan Hebi 458030)

机构地区：[1]鹤壁职业技术学院机电工程学院,河南鹤壁458030

出　　处：《内燃机与配件》2023年第9期14-16,共3页Internal Combustion Engine & Parts

基　　金：鹤壁职业技术学院校本科技类一般课题项目“智能车辆换道控制策略研究”(编号:2022-KJYB-012)。

摘　　要：轮速信号作为拖拉机滑转率测量中一项重要参数,必须保证其精确性,传感器直接测得的轮速信号容易受到噪声的干扰,使将轮速信号作为输入的各种控制系统出现控制失误。本文针对拖拉机轮速传感器信号的特点设计了基于小波变换的软硬折衷阈值函数信号预处理方法,使用Carsim仿真拖拉机轮速原始信号,并加入信噪比为60的白噪声。从几种小波去噪方法的结果可以看出,软硬折衷阈值函数小波去噪法优于其他任何普通的小波去噪算法,去噪后信号的信噪比为56.440,均方误差为0.0042,证明小波变换去噪方法用于拖拉机驱动轮转速信号的预处理是可行的。As one of the most important parameters in the measurement of tractor slip ratio,wheel speed signal must ensure its accuracy.Noises make tractor wheel speed signal a significant fluctuation,which may cause control system failure.We use Carsim simulation software to get actual tractor wheel speed signal,and add white noise which SNR(signal to noise ratio)is 60 to the original signal.From the results of several wavelet denoising methods conclude that the soft-hard compromise threshold function wavelet denoising method is better than any other ordinary wavelet denoising methods.The SNR of denoised signal is 56.440 and the MSE(mean square error)is 0.0042.The wavelet transform denoising method is feasible to remove noise from tractor driving wheel speed signal.

关 键 词：农业机械 拖拉机 信号处理 小波变换 

分 类 号：U463.3[机械工程—车辆工程]