Experimental evaluation of an augmented IMC for nonlinear systems

被引：23

作者：

Hu, Q ^{[1
]}

Saha, P ^{[1
]}

Rangaiah, GP ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Chem & Environm Engn, Singapore 119260, Singapore

来源：

CONTROL ENGINEERING PRACTICE | 2000年 / 8卷 / 10期

关键词：

nonlinear systems; internal model control; input-output linearization; augmented internal model control; neutralization process; pH control;

D O I：

10.1016/S0967-0661(00)00041-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Performance of internal model control (IMC), which is affected by the inevitable errors in the model used, can be improved by augmented IMC (AuIMC) having an additional feedback of process/model mismatch through a suitable gain. This paper presents a detailed study on real-time control of an open-loop stable single-input-single-output (SISO) nonlinear system by AuIMC. The AuIMC structure is first analyzed theoretically to show its robustness and performance characteristics, followed by its experimental evaluation on pH control of a neutralization process. The experimental results show that significantly improved control is obtained by the AuIMC compared to the standard IMC. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：1167 / 1176

页数：10

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