Model predictive control of an electric arc furnace off-gas process

被引：53

作者：

Bekker, JG

Craig, IK ^{[1
]}

Pistorius, PC

机构：

[1] Univ Pretoria, Dept Elect & Elect Engn, ZA-0002 Pretoria, South Africa

[2] Univ Pretoria, Dept Mat Sci & Met Engn, ZA-0002 Pretoria, South Africa

来源：

CONTROL ENGINEERING PRACTICE | 2000年 / 8卷 / 04期

基金：

新加坡国家研究基金会;

关键词：

steel industry; electric are furnace; industrial control; model-based control; predictive control; MIMO;

D O I：

10.1016/S0967-0661(99)00163-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 shows that an electric are furnace off-gas system can provide valuable manipulated variables for feedback control which can improve furnace efficiency and contribute to safety in the workplace. Model predictive control (MPC) is used to illustrate this concept using practically motivated control objectives. An initial verification of a non-linear furnace model with plant data is shown. The design of MPC controllers for the furnace is discussed and results are shown by way of simulation. Evaluation of the final controller against traditional manual operation is done, and the setpoint tracking capability of the controller is tested. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：445 / 455

页数：11

共 13 条

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