Neural Network Based Steel Melting Furnace Short Circuit Parameters Identification

Date issued

2013

Journal Title

Journal ISSN

Volume Title

Publisher

University of West Bohemia

Abstract

The method of continuous control of arc furnace short circuit elements parameters based on neural network is proposed. The block diagram has been developed and the synthesis of parameter identification neural network system has been developed. The mathematical and digital models have been developed and the accuracy of identification has been studied. The obtained results of model studies showed high accuracy of neural network identification of furnace short circuit parameters.

Description

Subject(s)

obloukové pece, krátké obvody, neuronové sítě, řídící systémy, matematické modelování

Citation

CPEE – AMTEE 2013: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 4th – 6th September 2013 Roztoky u Křivoklátu, Czech Republic, p. VI-11.
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