Research on Suspension System based on Genetic Algorithm and Neural Network Control

被引：5
|
作者：
Tang, Chuan Yin [1 ]
Zhao, Guang Yao [1 ]
机构：
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
active suspension; neural networks; genetic algorithm; simulation;
D O I：
10.1109/ICICTA.2009.120
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An active suspension system for vehicles using the genetic algorithms and neural network controls strategy is presented. A half car four degree of freedom suspension vibration model is described. Compared with the conventional passive suspension system, the analysis is done to the system control performance. The analysis of the system response is obtained through the change of the neural network training coefficients, genetic algorithms input functions and the change of velocity. The simulation results indicate that the vehicle vibration can be reduced and the ride comfort is improved by the proposed suspension systems.
引用
收藏
页码：468 / 471
页数：4
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