A multivariable Smith predictor for intelligent control of a cupola furnace

Author

Moore, Kevin L. ; Clark, Daniel ; Larsen, Esben

Author_Institution

Coll. of Eng., Idaho State Univ., Pocatello, ID

Volume

2

fYear

1995

fDate

21-23 Jun 1995

Firstpage

1280

Abstract

A cupola is a furnace used for melting pig iron, scrap steel, cast iron scrap, foundry return scrap, and ferroalloys to a specified tapping temperature and chemical composition. Automatic control of the process is introduced to help improve the role of the cupola in the foundry industry by producing lower material and processing costs and improved product quality. A multivariable Smith predictor is used as part of an intelligent control scheme we have developed to control the cupola. A description of the cupola process is given from a control perspective. Then the multivariable Smith predictor is presented. Preliminary simulations demonstrate the effectiveness of the controller for set-point tracking

Keywords

closed loop systems; furnaces; intelligent control; melting; metallurgical industries; multivariable control systems; neurocontrollers; process control; transfer function matrices; chemical composition; closed loop systems; cupola furnace; foundry industry; intelligent control; iron melting; multivariable Smith predictor; neural networks; process control; set-point tracking; transfer function matrix; Automatic control; Cast iron; Chemicals; Costs; Foundries; Furnaces; Industrial control; Intelligent control; Steel; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.520956

Filename

520956