Electric Arc Furnace Based on Fuzzy Neural Network Control System and MATLAB Simulation

Abstract:

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EAF steelmaking is a complex physical and chemical reactions,has Highly nonlinearity, time variability and strong coupling. As the electrode's contact with the charging circuit, charging the collapse of the gasification furnace components and liquid metal boiling and other factors, often result in dramatic fluctuations in arc current. At this point we need to quickly adjust the location of electrodes, so that arc current stable base on this within a certain range. This article in the fuzzy control and neural network’s foundation,will study a kind based on three-phase consciousness electric arc furnace predictive control new method, Using the fuzzy neural network control adjusting electrode, further enhancing the effectiveness of electric arc furnace’synthesis movement.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

491-495

DOI:

10.4028/www.scientific.net/AMM.48-49.491

Citation:

Q. Li and P. H. Wu, "Electric Arc Furnace Based on Fuzzy Neural Network Control System and MATLAB Simulation", Applied Mechanics and Materials, Vols. 48-49, pp. 491-495, 2011

Online since:

February 2011

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Price:

$35.00

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