A model-based predictive control approach to repetitive control of continuous processes with periodic operations

被引：105

作者：

Lee, JH ^{[1
]}

Natarajan, S

Lee, KS

机构：

[1] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA

[2] Sogang Univ, Dept Chem Engn, Mapogu, Seoul 121742, South Korea

来源：

JOURNAL OF PROCESS CONTROL | 2001年 / 11卷 / 02期

基金：

美国国家科学基金会;

关键词：

model predictive control; repetitive control; periodic systems;

D O I：

10.1016/S0959-1524(00)00047-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel model-based predictive control (MPC) method is developed with the aim of applying it to periodic process control problems. By borrowing concepts From repetitive control (RC), we endow the MPC method with the ability to make continuous period-to-period improvements. The method uses a linear time-varying system description of a periodic process and can handle constraints on inputs and outputs. Some numerical examples are shown to illustrate performance improvements that can be achieved by the new method over the conventional MPC and RC methods. (C) 2001 Published by Elsevier Science Ltd. All rights reserved.

引用

页码：195 / 207

页数：13

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