Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process

In the twin-roll casting process, how to accurately control the molten metal pool level is a key problem to produce high quality strip. In this paper, the mathematical model about the pool level control is set up based on the process characteristics. Meanwhile, the limitations of the traditional PID...

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Main Authors:	S. Y. Guan, W. Y. Zhang, X. Xia, Y. F. Jiang
Format:	Article
Language:	English
Published:	Croatian Metallurgical Society 2020-01-01
Series:	Metalurgija
Subjects:	magnesium strips twin-roll casting process molten metal level PID control neural network (NN)
Online Access:	https://hrcak.srce.hr/file/327711

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spelling	doaj-7c191f7a7c4242d693d6ecde5cf898122020-11-25T02:24:40ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762020-01-015913538Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting processS. Y. Guan0W. Y. Zhang1X. Xia2Y. F. Jiang3School of Software, University of Science and Technology Liaoning, ChinaSchool of Software, University of Science and Technology Liaoning, ChinaSchool of Software, University of Science and Technology Liaoning, ChinaSchool of Software, University of Science and Technology Liaoning, ChinaIn the twin-roll casting process, how to accurately control the molten metal pool level is a key problem to produce high quality strip. In this paper, the mathematical model about the pool level control is set up based on the process characteristics. Meanwhile, the limitations of the traditional PID control strategy are analyzed owing to the real-time change of the roll gap and roll speed. Furthermore, the neural network is applied to adaptively optimize the PID control parameters and the simulations show the neural network PID strategy can precisely control the molten metal pool level in twin-roll casting process under the condition of multiple factors interfering. https://hrcak.srce.hr/file/327711magnesium stripstwin-roll casting processmolten metal levelPID controlneural network (NN)
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	S. Y. Guan W. Y. Zhang X. Xia Y. F. Jiang
spellingShingle	S. Y. Guan W. Y. Zhang X. Xia Y. F. Jiang Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process Metalurgija magnesium strips twin-roll casting process molten metal level PID control neural network (NN)
author_facet	S. Y. Guan W. Y. Zhang X. Xia Y. F. Jiang
author_sort	S. Y. Guan
title	Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process
title_short	Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process
title_full	Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process
title_fullStr	Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process
title_full_unstemmed	Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process
title_sort	study on neural network proportional-integration-differential (pid) control strategy of the molten metal pool level in the twin roll casting process
publisher	Croatian Metallurgical Society
series	Metalurgija
issn	0543-5846 1334-2576
publishDate	2020-01-01
description	In the twin-roll casting process, how to accurately control the molten metal pool level is a key problem to produce high quality strip. In this paper, the mathematical model about the pool level control is set up based on the process characteristics. Meanwhile, the limitations of the traditional PID control strategy are analyzed owing to the real-time change of the roll gap and roll speed. Furthermore, the neural network is applied to adaptively optimize the PID control parameters and the simulations show the neural network PID strategy can precisely control the molten metal pool level in twin-roll casting process under the condition of multiple factors interfering.
topic	magnesium strips twin-roll casting process molten metal level PID control neural network (NN)
url	https://hrcak.srce.hr/file/327711
work_keys_str_mv	AT syguan studyonneuralnetworkproportionalintegrationdifferentialpidcontrolstrategyofthemoltenmetalpoollevelinthetwinrollcastingprocess AT wyzhang studyonneuralnetworkproportionalintegrationdifferentialpidcontrolstrategyofthemoltenmetalpoollevelinthetwinrollcastingprocess AT xxia studyonneuralnetworkproportionalintegrationdifferentialpidcontrolstrategyofthemoltenmetalpoollevelinthetwinrollcastingprocess AT yfjiang studyonneuralnetworkproportionalintegrationdifferentialpidcontrolstrategyofthemoltenmetalpoollevelinthetwinrollcastingprocess
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Study on neural network proportional-integration-differential (PID) control strategy of the molten metal pool level in the twin roll casting process

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