车辆油气悬架动态特性识别  

A method to identify the dynamic features for the hydro-pneumatic suspension in vehicles

作　　者：田野[1] 关英俊[1] 金普胜 

机构地区：[1]长春工业大学机电工程学院,吉林长春130012 [2]长春乾源房地产开发建设有限公司,吉林长春130022

出　　处：《长春工业大学学报》2009年第2期169-172,共4页Journal of Changchun University of Technology

基　　金：吉林省教育厅科学基金资助项目(吉教科合字[2007]第100号)

摘　　要：基于车辆系统油气悬架的动态模型,建立了神经网络模型来识别油气悬架的动态力。将小波变换应用于油气悬架信号的提取,通过小波的分解与重构有效地去除了噪声信号,为油气悬架系统设计提供了理论依据。Basing on the dynamic model of a vehicle system with hydro-pneumatic suspension, a neural network is established to identify the dynamic force of the hydro-pneumatic suspension. With wavelet transform, the signals from hydro-pneumatic suspension is extracted and then filtrated by applying the wavelet decompositio for the design of hyd n and reconstruction to remove the noises. The method provides an effective way ro-pneumatlc suspension system.

关 键 词：油气悬架 神经网络 动态力 小波 

分 类 号：U463.33[机械工程—车辆工程]