【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。更多还原

【Abstract】 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 decomposition and reconstruction to remove the noises.The method provides an effective way for the design of hydro-pneumatic suspension system.更多还原