| 车辆油气悬架动态特性识别 |
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| 引用本文： | 田野,关英俊,金普胜. 车辆油气悬架动态特性识别[J]. 吉林工学院学报, 2009, 30(2): 169-172 |
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| 作者姓名： | 田野 关英俊 金普胜 |
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| 作者单位： | 田野,关英俊,TIAN Ye,GUAN Ying-jun(长春工业大学机电工程学院,吉林,长春,130012);金普胜,JIN Pu-sheng(长春乾源房地产开发建设有限公司,吉林,长春,130022) |
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| 基金项目： | 吉林省教育厅科学基金 |
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| 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。
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| 关 键 词： | 油气悬架 神经网络 动态力 小波 |
A method to identify the dynamic features for the hydro-pneumatic suspension in vehicles |
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| TIAN Ye,GUAN Ying-jun,JIN Pu-sheng. A method to identify the dynamic features for the hydro-pneumatic suspension in vehicles[J]. Journal of Jilin Institute of Technology, 2009, 30(2): 169-172 |
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| Authors: | TIAN Ye GUAN Ying-jun JIN Pu-sheng |
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| Affiliation: | 1.School of Mechatronic Engineering;Changchun University of Technology;Changchun 130012;China;2.Changchun Qianyuan Real Estate Development Construction Co.Ltd.;Changchun 130022;China |
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| 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. |
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| Keywords: | hydro-pneumatic suspension neural network dynamic force wavelet. |
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