|Table of Contents|

Application of empirical mode decomposition (EMD) in data smoothing for vehicle braking(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2009年04期
Page:
97-100
Research Field:
Publishing date:
2009-08-20

Info

Title:
Application of empirical mode decomposition (EMD) in data smoothing for vehicle braking
Author(s):
GUO Lanying1;  LIANG Bo1;  ZHAO Xiangmo1;  DONG Anguo2
1. School of Information Engineering, Changan University, Xian 710064, Shaanxi, China; 2. School of Science, Changan University, Xian 710064, Shaanxi, China
Keywords:
automobile engineering;  braking performance;  data smoothing;  EMD
PACS:
U467.4
DOI:
-
Abstract:
In order to achieve the detection of variation of vehicle brake in whole course, and improve system precision and repetition, EMD is applied to data smoothing of vehicle braking. The proposed method is compared with traditional methods, such as least square method and spline function method, by simulation and actual measurement. The result shows that the proposed method can suppress disturbance and improve smoothing of measurement curve. The maximum deviation measurement of vehicle brake can be reduced from 0.67% to 0.16%, and the characteristics of initial curve can be maintained, so the detection precision and reuse of detection data can be ensured. 2 tabs, 3 figs, 10 refs.

References:

［1］吴晓东,李冰,赵学增.差动制动对汽车制动稳定性的影响［J］.交通运输工程学报,2008,8(1):2326. WU Xiaodong,LI Bing,ZHAO Xuezeng.Effect of differential brake on braking stability of automobile ［J］.Journal of Traffic and Transportation Engineering,2008,8(1):2326.
[2]赵伟，魏朗，杜峰.基于横摆力矩的汽车制动稳定性模糊控制［J］.长安大学学报:自然科学版,2008,28(6):7680. ZHAO Wei，WEI Lang，DU Feng.Fuzzy control of automobile braking stability based on yaw moment control［J］.Journal of Changan University: Natural Science Edition,2008,28(6):7680.
[3]赵祥模,南春丽,马建，等.汽车制动性能检测中的制动力数据拟合与优化方法研究［J］.中国公路学报,2003,16（3）:100104. ZHAO Xiangmo,NAN Chunli,MA Jian,et al.Study of braking data quasiharmony and optimization method in auto brake function test［J］.China Journal of Highway and Transport,2003,16（3）:100104.
[4]James A C.Foundations of digital signal processing and data analysis［M］.New York:Macmillan Pub,1997.
[5]朱肖强.基于CAN总线的汽车制动试验台数据采集系统的研究［D］.武汉：武汉理工大学,2007.
[6]滕鹏,黄俊,张斌.三维航迹的B样条曲线拟合算法［J］.火力与指挥控制，2007,32(9):115118. TENG Peng,HUANG Jun,ZHANG Bin.Study on the threedimensional trajectory optimization by using the method of Bspline curve fitting［J］.Fire Control and Command Control,2007,32(9):115118.
[7]王春,彭东林.HilbertHuang 变换及其在去噪方面的应用［J］.仪器仪表学报,2004,25(增刊):4245. WANG Chun,PENG Donglin.The HilbertHuang transform and its application on signal denoising［J］.Chinese Journal of Scientific Instrument,2004,25(S):4245.
[8]Huang N E,Shen Z,Long S R.A new view of nonlinear water waves:the Hilbert spectrum［J］.Annual Review Fluid Mechanics,1999,31:417457.
[9]孙璐.运动车辆随机荷载及其激励下的地面动力响应的理论研究［D］.南京:东南大学,1996.
[10]Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis［J］.Proceeding of Royal Society,1998,454:903995.

Memo

Memo:
-
Last Update: 2009-08-20