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.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2007年第4期16-18,80,共4页
Transactions of the Chinese Society for Agricultural Machinery
关键词
油气悬架
神经网络
动态力
Hydro-pneumatic suspension, Neural network, Dynamic force
