RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL

Goal. The purpose of the paper is to increase the efficiency of arc steelmaking furnace (ASF) operating modes control basing on the improvement of arc lengths control model. Method. The control model is based on the fuzzy set theory, and the structural modelling methodology is used to study the dyna...

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Autores principales:	Y. S. Paranchuk, R. Y. Paranchuk
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2020
Materias:	arc steelmaking furnace electric mode fuzzy control autonomy dispersion Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/bef94a94f01c46c7b4279ee7c9f05964
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spelling	oai:doaj.org-article:bef94a94f01c46c7b4279ee7c9f059642021-12-02T16:19:34ZRESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL10.20998/2074-272X.2020.4.052074-272X2309-3404https://doaj.org/article/bef94a94f01c46c7b4279ee7c9f059642020-08-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05/210574https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Goal. The purpose of the paper is to increase the efficiency of arc steelmaking furnace (ASF) operating modes control basing on the improvement of arc lengths control model. Method. The control model is based on the fuzzy set theory, and the structural modelling methodology is used to study the dynamics indices. Results. The structural scheme of a furnace arc lengths fuzzy control system and the electrical mode (EM) coordinate control dynamics parameters values in response to the deterministic and random arc lengths fluctuations were obtained. Scientific novelty. For the first time, a fuzzy model of an EM mismatch signal generation with operational adaptation to its current state in each phase was developed, which enabled by-phase independent control of arc lengths and improved energy efficiency. Practical value. Dynamic accuracy of EM coordinates stabilization at the setpoint level is improved, in particular the arc currents dispersion is reduced, which leads to a corresponding power loss decrease in arc furnace short network, an increase of the furnace productivity, as well as to an improvement of the electromagnetic compatibility of the arc furnace and power supply network. Y. S. ParanchukR. Y. ParanchukNational Technical University "Kharkiv Polytechnic Institute"articlearc steelmaking furnaceelectric modefuzzy controlautonomydispersionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 4, Pp 30-36 (2020)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	arc steelmaking furnace electric mode fuzzy control autonomy dispersion Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	arc steelmaking furnace electric mode fuzzy control autonomy dispersion Electrical engineering. Electronics. Nuclear engineering TK1-9971 Y. S. Paranchuk R. Y. Paranchuk RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
description	Goal. The purpose of the paper is to increase the efficiency of arc steelmaking furnace (ASF) operating modes control basing on the improvement of arc lengths control model. Method. The control model is based on the fuzzy set theory, and the structural modelling methodology is used to study the dynamics indices. Results. The structural scheme of a furnace arc lengths fuzzy control system and the electrical mode (EM) coordinate control dynamics parameters values in response to the deterministic and random arc lengths fluctuations were obtained. Scientific novelty. For the first time, a fuzzy model of an EM mismatch signal generation with operational adaptation to its current state in each phase was developed, which enabled by-phase independent control of arc lengths and improved energy efficiency. Practical value. Dynamic accuracy of EM coordinates stabilization at the setpoint level is improved, in particular the arc currents dispersion is reduced, which leads to a corresponding power loss decrease in arc furnace short network, an increase of the furnace productivity, as well as to an improvement of the electromagnetic compatibility of the arc furnace and power supply network.
format	article
author	Y. S. Paranchuk R. Y. Paranchuk
author_facet	Y. S. Paranchuk R. Y. Paranchuk
author_sort	Y. S. Paranchuk
title	RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_short	RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_full	RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_fullStr	RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_full_unstemmed	RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_sort	research of arc furnace electrical mode with a fuzzy control model
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2020
url	https://doaj.org/article/bef94a94f01c46c7b4279ee7c9f05964
work_keys_str_mv	AT ysparanchuk researchofarcfurnaceelectricalmodewithafuzzycontrolmodel AT ryparanchuk researchofarcfurnaceelectricalmodewithafuzzycontrolmodel
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RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL

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