A Closed Loop Control Framework for Blast Furnace Ironmaking Process

被引：1

作者：

Liu, Xiang-guan ^{[1
]}

Zhou, Gang ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Math, Hangzhou 310003, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL II | 2009年

关键词：

blast furnace ironmaking; closed loop controller; silicon content; hierarchical model structure; SILICON CONTENT; PREDICTION;

D O I：

10.1109/GCIS.2009.147

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Blast furnace ironmaking is a complex industrial system involving control of multi-subsystems. The ultimate objective is to design a closed loop controller to maintain silicon content in hot metal at an appropriate level. Considering the interaction of the subsystems, a hierarchical model structure is proposed which includes 4 levels of models, e.g., mechanism model based on chaotic kinetics, inferential model based on fuzzy method, optimization models for operating variables and model predictive control method for silicon content in hot metal. This model structure takes all aspects of ironmaking process into account and provides a theoretical framework for closed loop control of blast furnace ironmaking.

引用

页码：187 / 190

页数：4