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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Збережено в:
Бібліографічні деталі
Дата:2020
Автори: Paranchuk, Y. S., Paranchuk, R. Y.
Формат: Стаття
Мова:Англійська
Українська
Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2020
Теми:
Онлайн доступ:http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05
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Назва журналу:Electrical Engineering & Electromechanics

Репозитарії

Electrical Engineering & Electromechanics
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author Paranchuk, Y. S.
Paranchuk, R. Y.
author_facet Paranchuk, Y. S.
Paranchuk, R. Y.
author_sort Paranchuk, Y. S.
baseUrl_str
collection OJS
datestamp_date 2020-08-25T11:26:25Z
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.
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spelling eiekhpieduua-article-2104982020-08-25T11:26:25Z RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL ДОСЛІДЖЕННЯ ЕЛЕКТРИЧНОГО РЕЖИМУ ДУГОВОЇ ПЕЧІ З НЕЧІТКОЮ МОДЕЛЛЮ КЕРУВАННЯ Paranchuk, Y. S. Paranchuk, R. Y. дугова сталеплавильна піч електричний режим нечітке регулювання автономність дисперсія 681.513 621.365 62-83-52 arc steelmaking furnace electric mode fuzzy control autonomy dispersion 681.513 621.365 62-83-52 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. Запропоновано нечіткий закон керування електричним режимом (ЕР) дугової сталеплавильної печі (ДСП). Створено структурну Simulink-модель системи керування ЕР на основі нечіткого закону. Проведено комп’ютерні дослідження динаміки регулювання координат ЕР дугової печі ДСП-200 з використанням диференційного та нечіткого законів керування. Результати досліджень показали, що при використанні нечіткого закону зменшуються дисперсія струмів дуг і питомі витрати електроенергії та зростає продуктивність дугової печі.  National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2020-08-24 Article Article application/pdf application/pdf http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05 10.20998/2074-272X.2020.4.05 Electrical Engineering & Electromechanics; No. 4 (2020); 30-36 Электротехника и Электромеханика; № 4 (2020); 30-36 Електротехніка і Електромеханіка; № 4 (2020); 30-36 2309-3404 2074-272X en uk http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05/210574 http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05/210576 Copyright (c) 2020 Y. S. Paranchuk, R. Y. Paranchuk https://creativecommons.org/licenses/by-nc/4.0
spellingShingle arc steelmaking furnace
electric mode
fuzzy control
autonomy
dispersion
681.513
621.365
62-83-52
Paranchuk, Y. S.
Paranchuk, R. Y.
RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_alt ДОСЛІДЖЕННЯ ЕЛЕКТРИЧНОГО РЕЖИМУ ДУГОВОЇ ПЕЧІ З НЕЧІТКОЮ МОДЕЛЛЮ КЕРУВАННЯ
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_short RESEARCH OF ARC FURNACE ELECTRICAL MODE WITH A FUZZY CONTROL MODEL
title_sort research of arc furnace electrical mode with a fuzzy control model
topic arc steelmaking furnace
electric mode
fuzzy control
autonomy
dispersion
681.513
621.365
62-83-52
topic_facet дугова сталеплавильна піч
електричний режим
нечітке регулювання
автономність
дисперсія
681.513
621.365
62-83-52
arc steelmaking furnace
electric mode
fuzzy control
autonomy
dispersion
681.513
621.365
62-83-52
url http://eie.khpi.edu.ua/article/view/2074-272X.2020.4.05
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