Intelligent control for pneumatic servo system

被引：3

作者：

Li, JH ^{[1
]}

Tanaka, K ^{[1
]}

机构：

[1] Yamaguchi Univ, Fac Engn, Dept Elect & Elect Engn, Ube, Yamaguchi 7558511, Japan

来源：

JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING | 2003年 / 46卷 / 02期

关键词：

internal model control; intelligent control; neural networks; pneumatic servo system;

D O I：

10.1299/jsmec.46.699

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, we propose an intelligent control method in which IMC control is combined with neural networks (NN). Internal model control (IMC) has a number of advantages for enhancing control performance. IMC can minimize disturbance greatly. IMC is attractive for industrial users because it has only one tuning parameter. The IMC is significant because the stability and robustness properties of the structure can be analyzed and manipulated in a transparent manner, even for nonlinear systems. On the other hand, NN is used to get the suitable control parameter when the plant contains non-linear elements. We apply the proposed intelligent control method for a pneumatic servo system which usually contains non-linearity. The effectiveness of the proposed design method is confirmed by experiments using the existent pneumatic servo system.

引用

页码：699 / 704

页数：6

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