DocumentCode :
298990
Title :
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
Link To Document :
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