Identification and control of nonlinear active pneumatic suspension for railway vehicles, using neural networks

被引：11

作者：

Nagai, M ^{[1
]}

Moran, A ^{[1
]}

Tamura, Y ^{[1
]}

Koizumi, S ^{[1
]}

机构：

[1] SUMITOMO MET IND LTD,OSAKA,JAPAN

来源：

CONTROL ENGINEERING PRACTICE | 1997年 / 5卷 / 08期

关键词：

active vehicle suspension; neural networks; nonlinear models; nonlinear control; pneumatic systems;

D O I：

10.1016/S0967-0661(97)00107-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper analyzes the performance of neural networks for the identification and optimal control of active pneumatic suspensions of high-speed railway vehicles. It is shown that neural networks can be efficiently trained to identify the dynamics of nonlinear pneumatic suspensions, as well as being trained to work as (sub)optimal nonlinear controllers. The performance of the nonlinear suspension with the neuro-controller is compared with the performance of the suspension with an LQ controller designed after linearizing the suspension components around the equilibrium point. Copyright (C) 1997 Elsevier Science Ltd.

引用

页码：1137 / 1144

页数：8

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