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| 油气悬架动态力的识别 | |
| 引用本文： | 杨斌,范文杰,张子达,陆爽.油气悬架动态力的识别[J].农业机械学报,2007,38(4):16-18. |
| 作者姓名： | 杨斌 范文杰 张子达 陆爽 |
| 作者单位： | 1. 铜陵学院机械工程系,244000,安徽省铜陵市 2. 吉林大学机械科学与工程学院,130025,长春市 3. 长春大学机械工程学院,130022,长春市 |
| 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。 |
| 关 键 词： | 油气悬架 神经网络 动态力 |
| 修稿时间： | 2005-12-08 |
Identifying Dynamic Force of Hydro-pneumatic Suspension |
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| Yang Bin,Fan Wenjie,Zhang Zida,Lu Shuang.Identifying Dynamic Force of Hydro-pneumatic Suspension[J].Transactions of the Chinese Society of Agricultural Machinery,2007,38(4):16-18. | |
| Authors: | Yang Bin Fan Wenjie Zhang Zida Lu Shuang |
| Institution: | 1.Tongling College 2.Jilin University 3.Changchun University |
| Abstract: | 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. |
| Keywords: | Hydro-pneumatic suspension Neural network Dynamic force |
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