基于小波变换的汽车节气门位置信号去噪  

Vehicle Throttle Position Signal Denoising Based on Wavelet Transform

作　　者：吴壮文[1] 石小利[1] 冯关明[1] 任海雷[1] 支文婷[2] 

机构地区：[1]浙江工业职业技术学院,绍兴312000 [2]浙江交通技师学院,金华321000

出　　处：《机械科学与技术》2013年第4期612-615,共4页Mechanical Science and Technology for Aerospace Engineering

基　　金：2011年绍兴市高等教育教学改革项目;2011年度学校教学改革重点项目资助

摘　　要：传统的汽车节气门位置信号(throttle position sensor,TPS)处理方法不易消除发动机舱内电磁信号及周边环境的干扰。根据TPS的特征,在MATLAB中选用Daubechies五阶正交小波(dB5)对TPS噪声信号进行4层小波分解,再对分解后得到的各层系数用软阈值法量化处理,最后利用小波重构,实现对信号去噪。最后将获得的去噪信号用于发动机控制,并将控制结果与采用未去噪信号的发动机进行实车对比试验。试验表明:发动机采用去噪的TPS信号运行更平稳,小波变换后的去噪TPS信号对发动机控制具有良好的效果。In engine compartment, it is difficult to eliminate the effect of interfering signals on vehicle throttle posi- tion sensor （TPS） by the traditional signa] processing method. In this article, according to the characteristic of TPS, the wavelet theory was applied to decompose the noise signal for 4 levels by selecting Daubechies （ dB5 ） wavelet in MATLAB. After decomposing, the soft-threshold de-noising method was employed to eliminate noise, then the inverse wavelet transform was used to reconstruct signals for signal de-noising and rebuilding. Finally, the de-noised signal was compared with the un-denoised signal by real vehicle tests. The tests show that the engine run more stable when using the de-noised TPS signal and the de-noised TPS signal after wavelet transforming can im- prove the engine control more effectively.

关 键 词：汽车 节气门信号 小波变换 阈值去噪 

分 类 号：U463.5[机械工程—车辆工程] TB931[交通运输工程—载运工具运用工程]