Study of Active Suspension Based on Fuzzy Neural Network Control

被引：1

作者：

Yuan Chuanyi ^{[1
]}

Teng Yefang ^{[2
]}

Yin Xinye ^{[2
]}

机构：

[1] Jiangsu Teachers Univ Coll, Sch Mech & Automobile Engn, Changzhou 213001, Peoples R China

[2] Changzhou Inst Light Ind Technol, Changzhou 213164, Peoples R China

来源：

NEW TRENDS IN MECHANICAL ENGINEERING AND MATERIALS | 2013年 / 251卷

关键词：

Vehicle; Active suspension; Fuzzy control; Neural network; Ride comfort;

D O I：

10.4028/www.scientific.net/AMM.251.201

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Based on the established full-car active suspension model, fuzzy control theory was combined with neural network control, the fuzzy neural network control system of vehicle active suspension was designed, simulation and analysis of random road input and sine wave input were carried on. The results show that, by comparison with the traditional suspension system, the peak and standard deviation of vehicle mass vertical acceleration decreased by 55.38% and 59.04%, the peak of vehicle mass vertical acceleration decreased by 49.96% when vehicle go through the sine wave at the speed of 5m/s, the ride comfort was improved obviously.

引用

页码：201 / +

页数：2

共 6 条

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