期刊文献+

基于车辆振动加速度响应的路面识别研究 被引量:10

Research on Road Identification Based on Vehicle Vibration Acceleration Response
在线阅读 下载PDF
导出
摘要 分别在土路与公路两种路况下,对试验测试得到的车辆振动加速度响应分别从相关性、频域、时域进行信号分析,并对试验条件下的响应信号功率谱密度按照最大峰值进行归一化处理,进而提出路面识别算法。结果表明:路面识别算法可以在一定程度上对路面的频率结构作定性的判断;车辆振动加速度响应信号体现路面不平度特征的信息;分析结论能为路面识别的研究提供参考。 The acceleration response signal of vehicle vibration was proposed to be the carrier of the road surface roughness information innovatively. The signal analysis was made to the acceleration response of vehicle vibration respectively from relativity, frequency domain and time domain under land road and pavement road situations, and the normalized processing was carried on to the power spectral density(PSD ) of response signals according to the maximal peak value under the test condition, moreover the algorithm of the road identification was put forward. The results show that the algorithm of the road identification may make qualitative judgments to the frequency structure of the road tn a certain extent, and the acceleration response signal of vehicle vibration reflects the information of road roughness features. The references for the study of the road identification can be provided from the analysis conclusions.
出处 《拖拉机与农用运输车》 2011年第1期28-31,共4页 Tractor & Farm Transporter
基金 国家部委预先研究基金(1030020220707)
关键词 路面识别 归一化 路面不平度 功率谱密度 频率结构 Road identification Normalization Road surface roughness Power spectral density (PSD) Frequency structure
  • 相关文献

参考文献5

二级参考文献35

  • 1陈炯,王会义,宋健.基于滑移率和减速度的ABS模糊控制仿真研究[J].汽车工程,2006,28(2):148-151. 被引量:28
  • 2[4]JIN O H,RAJESH R,LEE A.GPS-based real-time identification of tire-road friction coefficient[J].IEEE Transactions on Control Systems Technology,2002,10(3):331-343.
  • 3[6]TIMOTHY W A,PANGS Y.Multi criteria optimization of anti-lock braking system control algorithms[M].New York:The Gordon and Brach Publishing Group,1996:48-52.
  • 4Mills Val, Samuels B, Wagner J. Modeling and analysis of auttanotive antilock brake systems subject to vehicle payload shifting[J]. Vehicle System Dynamics, 2002,37(4):283-310.
  • 5Choi S, Cho D. Design of nonlinear sliding mode contraller with pulse width modulation for vehicular slip ratio control[J]. Vehicle System Dynamics, 2001,36(1) :57 - 72.
  • 6Huang H,Wang C. Intelligent control of wheel vehides with anti-braking systems [ J ]. International Journal of vehicle Design, 2001,26(2 - 3) :218 - 238.
  • 7Sang B J,Park J W, Yong H. Material property identification of composite plantes using neural network and evolution algorithm[J]. AIAA Journal, 2002,40(9) : 1914 - 1916.
  • 8Kim H,Ahn J. Chip disposal state monitoring in drilling using neural network based spindle motor power sensing [ J ].International Journal of Machine Tools and Manufacture,2002,42(10) : 1113 - 1119.
  • 9Nagy H,Watanabe K,Hirano M. Prediction of sediment load concentration in rivers using artificial neural network model[J]. Journal of Hydraulic Engineering. 2002,128(6):588-595.
  • 10Timothy W A, Panos Y. Multicriteria optimization of antilock braking system control algorithms [ M ]. New York:The Gordon and Brach Publishing Group, 1996.48-52.

共引文献18

同被引文献62

引证文献10

二级引证文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部