油气悬架动态力的识别  

Identifying Dynamic Force of Hydro-pneumatic Suspension

作　　者：杨斌[1,2] 范文杰[3] 张子达[3] 陆爽[4] 

机构地区：[1]铜陵学院机械工程系 [2]244000安徽省铜陵市 [3]吉林大学机械科学与工程学院 [4]长春大学机械工程学院

出　　处：《农业机械学报》2007年第4期16-18,80,共4页Transactions of the Chinese Society for Agricultural Machinery

摘　　要：将BP神经网络应用于油气悬架动态力的识别,建立了带有油气悬架的1/4车辆系统动态模型,并根据车辆悬架系统模型建立了神经网络模型,利用油气悬架的输入、输出信息进行油气悬架动态力的识别,并与等效线性方法相比较,获得了比较满意的结果,为油气悬架的理论计算、设计及主动控制提供了一种参数识别的方法。BP artificial neural network was applied in the research of identifying dynamic force of hydro-pneumatic suspension. A dynamic model of 1/4 vehicle with hydro-pneumatic suspension was built and a neural network was established based on this suspension model. Dynamic force of hydro-pneumatic suspension was identified by input and output data of hydro-pneumatic suspension. Identifying results of neural network and equivalent linearity were compared. Identifying results of neural network are better than equivalent linearity. It provided a new method for calculation, designing and active controlling of hydro-pneumatic suspension.

关 键 词：油气悬架 神经网络 动态力 

分 类 号：U463.33[机械工程—车辆工程]