| 基于串联型模糊神经网络的汽车半主动悬架的研究 |
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| 引用本文： | 陈无畏,朱敏杰,王启瑞,范迪彬,李智超.基于串联型模糊神经网络的汽车半主动悬架的研究[J].汽车工程,2000,22(2):104-108. |
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| 作者姓名： | 陈无畏 朱敏杰 王启瑞 范迪彬 李智超 |
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| 作者单位： | 合肥工业大学 |
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| 基金项目： | 国家机械局汽车工业重点科研课题和安徽省自然科学基金资助项目。 |
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| 摘 要： | 本文建立了五自由度汽车半主动悬架系统模型，提出一种用于汽车悬 半主动振动控制系统的模糊神经网络方法，对半主动悬架 计算机仿真和结果分析，并通过与被动悬架相比较，证明半主动悬架系统在减少振动，提高汽车平一方面要优于被动悬架。
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| 关 键 词： | 半主动悬架 模糊系统 神经网络 仿真 汽车 |
A Study on Automotive Semi active Suspension Based on Series Fuzzy Neural Networks |
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| Chen Wuwei,Zhu Minjie,Wang Qirui,Fan Dibing,Li Zhichao.A Study on Automotive Semi active Suspension Based on Series Fuzzy Neural Networks[J].Automotive Engineering,2000,22(2):104-108. |
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| Authors: | Chen Wuwei Zhu Minjie Wang Qirui Fan Dibing Li Zhichao |
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| Institution: | Chen Wuwei
,Zhu Minjie
,Wang Qirui
,Fan Dibing
,Li Zhichao
;(He fei University of Technology) |
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| Abstract: | This paper establishes a 5 DOFs of vehicle model with semi active suspension, presents a control strategy for automotive semi active suspension system based on fuzzy neural networks, simulates the suspension system and analyses the test results. Compared with conventional passive suspensions, the results show that the semi active suspension is superior to the passive suspension in improving the ride comfort. |
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| Keywords: | Semi-active suspension Fuzzy system Neural networks Simulation |
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