An Adaptive, Intelligent Control System for Slag Foaming

Slag foaming is a steel-making process that has been shown to improve the efficiency of electric arc furnace plants. Unfortunately, slag foaming is a highly dynamic process that is difficult to control. This paper describes the development of an adaptive, intelligent control system for effectively m...

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Bibliographic Details
Published inApplied intelligence (Dordrecht, Netherlands) Vol. 20; no. 2; pp. 165 - 177
Main Authors Wilson, Eric L., Karr, Charles L., Bennett, James P.
Format Journal Article
LanguageEnglish
Published Boston Springer Nature B.V 01.03.2004
Subjects
Computer applications
Computer programs
Control
Control systems
Dynamical systems
Dynamics
Expert systems
Foaming
Genetic algorithms
Intelligence
Iron and steel making
Neural networks
Slags
Steel industry
Studies
Online AccessGet full text
ISSN0924-669X
1573-7497
DOI10.1023/B:APIN.0000013338.39348.46

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Summary:Slag foaming is a steel-making process that has been shown to improve the efficiency of electric arc furnace plants. Unfortunately, slag foaming is a highly dynamic process that is difficult to control. This paper describes the development of an adaptive, intelligent control system for effectively manipulating the slag foaming process. The level-2 intelligent control system developed is based on three techniques from the field of computational intelligence (CI): (1) fuzzy logic, (2) genetic algorithms, and (3) neural networks. Results indicate that the computer software architecture presented in this paper is suitable for effectively manipulating complex engineering systems characterized by relatively slow process dynamics like those of a slag foaming operation.
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ISSN:0924-669X
1573-7497
DOI:10.1023/B:APIN.0000013338.39348.46