This paper introduces a Neural Network (NN) Predictive Control System in an Electric Arc Furnace (EAF). An Embedded System based on Windows CE.NET realizes its electrode adjustor. The solution of the control system is introduced. The NN Predictive Control strategy is depicted, which adopts Extended Delta-Bar-Delta (DBD) algorithm as a learning method of NN models. Hardware and software design of embedded controller are also introduced. It has gotten a good effect in practical running.
- Design Engineering Division and Computers and Information in Engineering Division
An Embedded System To Be Applied to Neural Network Predictive Control in an Electric Arc Furnace
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Zhang, X. "An Embedded System To Be Applied to Neural Network Predictive Control in an Electric Arc Furnace." Proceedings of the ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 4a: ASME/IEEE Conference on Mechatronic and Embedded Systems and Applications. Long Beach, California, USA. September 24–28, 2005. pp. 75-79. ASME. https://doi.org/10.1115/DETC2005-84248
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