基于人工神经网络的实验悬架系统振动分析

IF 0.7 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Scientific & Industrial Research Pub Date : 2009-04-20 DOI:10.4271/2009-01-0734

Ş. Yıldırım, Ikbal Eski

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引用次数: 29

摘要

本研究通过观察悬架弹簧、路面粗糙度等的变化，分析了振动对车辆舒适性和持路能力的影响。此外，还介绍了利用神经网络设计非线性平顺性试验汽车悬架系统。本文提出的主动悬架系统比线性主动悬架系统对车身的隔振效果更好。所提出的神经网络预测器可用于汽车悬架振动分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Vibration analysis of an experimental suspension system using artificial neural networks

This study analyzes effects of vibrations on comfort and road holding capability of vehicles as observed in variations of suspension springs, road roughness etc. Also, design of non-linear experimental car suspension system for ride qualities using neural networks is presented. Proposed active suspension system has been found more effective in vibration isolation of car body than linear active suspension system. Proposed neural network predictor could be used in vehicle’ s suspension vibration analysis .

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来源期刊

Journal of Scientific & Industrial Research 工程技术-工程：综合

CiteScore

1.70

自引率

16.70%

发文量

审稿时长

4-8 weeks

期刊介绍： This oldest journal of NISCAIR (started in 1942) carries comprehensive reviews in different fields of science & technology (S&T), including industry, original articles, short communications and case studies, on various facets of industrial development, industrial research, technology management, technology forecasting, instrumentation and analytical techniques, specially of direct relevance to industrial entrepreneurs, debates on key industrial issues, editorials/technical commentaries, reports on S&T conferences, extensive book reviews and various industry related announcements.It covers all facets of industrial development.