摘要
提出利用路面粗糙度对车轮产生的振动来识别路面的方法。首先确定车轮高频振动可以反映路面粗糙度,进而按路面粗糙度识别路面。然后利用Wavelet和FFT对各种典型路面产生的车轮高频振动信号进行频谱分析,根据获得的典型路面频谱分布特征,构造典型路面模糊分类器,按照欧几里德贴近度原则进行路面识别。试验中,柏油路、水泥路识别率达95%,证明基于车轮振动的路面模糊识别的有效性。
A road surface identification method is presented based on wheel vibration due to road surface roughness.Firstly,a wheel vibration model is analyzed,the wheel vibration can reflect the road surface roughness,i.e.the type of road.Then,using wavelet and FFT,analysis of the high frequency wheel vibration of all kinds of road is performed and the frequency spectrum characteristics are gained.Thus,according to the frequency spectrum characteristics,a road fuzzy classifier is built to identify road.In numerical simulations for blacktop and mattess road surfaces,the road identification accuracy reaches 95%.
出处
《振动与冲击》
EI
CSCD
北大核心
2008年第4期19-22,共4页
Journal of Vibration and Shock
关键词
路面识别
路面粗糙度
车轮振动
小波分析
模糊分类器
road surface identification
road roughness
wheel vibration
wavelet
fuzzy classifier
