Comparative Analysis of Modern Electric Control Systems of Electric Arc Furnaces

Николаев, А. А.; Tulupov, P. G.; Ivekeev, V.S.

doi:10.1109/uralcon49858.2020.9216238

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…Второй недостаток связан с ограниченным количеством зон ошибки регулирования ΔZ * , для которых можно задать своё уникальное значение K П . Это приводит к невозможности полной линеаризации контура регулирования и его настройки на технический оптимум на всём диапазоне рабочих длин дуг, а также влечёт за собой трудоёмкую работу по подбору границ данных зон при настройке регулятора [5,6]. Отметим, что обозначенные недостатки для регуляторов в других системах управления электрическим режимом остаются аналогичными.…”

Section: основные недостатки регуляторов современных систем управлени...unclassified

“…В свою очередь, в системе DigitArc (AMI, Мексика) регулятор схож с системой ARCOS. Разница заключается лишь в том, что собственно регулятор представлен ПИД-звеном [6].…”

Section: основные недостатки регуляторов современных систем управлени...unclassified

“…Оптимальная настройка данной системы оказывает значительное влияние на эффективность работы ДСП и УКП. В большинстве своем используемые на отечественных предприятиях САУЭРиПЭ ДПС и УКП, представленные такими фирмами-производителями, как Primetals Technologies, AMI, Amec Spie, Danieli и др., имеют закрытую структуру функциональных блоков, что существенно усложняет задачу оптимизации в соответствии с местными особенностями отдельно взятого агрегата [4][5][6]. Также достижение оптимального режима работы ДСП и УКП дополнительно усложняется еще и тем, что фирма-производитель САУЭРиПЭ в технической документации не приводит алгоритмы и методики настройки параметров основных функциональных блоков.…”

Section: Introductionunclassified

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Improving the Efficiency of Electric Modes Control Systems of Electric Arc Furnaces Through the Use of an Adaptive Impedance Regulator

Nikolaev¹,

Tulupov²,

Malakhov³

et al. 2021

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The article discusses an improved automatic electrodes movement control system for electric arc furnaces (arc steel-making furnaces and ladle-furnace installations), which improves the dynamic parameters of the quality of secondary electrical circuit impedance (s) control due to the use of a new structure of a nonlinear adaptive impedance controller. The use of an improved control system stabilizes the metal charge melting process in arc steel-making furnaces as well as the liquid steel heating process in ladle-furnace installations with intensive bottom blowing. This allows for the technical effect of reduced operating time under current and reduced specific power consumption in electric arc furnaces. The non-linear adaptive impedance controller provides full linearization of control loops, including a proportional directional control valve (servo valve) with a non-linear control characteristic and a secondary electrical circuit with a non-linear dependence of impedance on the arc length. The research used a complex mathematical model of the electric circuit of an electric arc furnace, hydraulic drives for moving electrodes and an automatic control system for moving electrodes, implemented in the MATLAB Simulink mathematical package. The effectiveness of the improved control system in the conditions of the existing metallurgical production was evaluated against the example of the “RADUGA NPA PK” control system, developed at the Federal State Budgetary Educational Institution of Higher Education “MSTU im. Nosov” and a ladle-furnace operating at the installation in the electric steel-smelting shop of PJSC “Magnitogorsk Metallurgical Plant”. The developed improved control system can be used in other modern electric arc furnaces of various capacities operating at metallurgical enterprises in Russia and abroad.

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Section: основные недостатки регуляторов современных систем управлени...unclassified

Section: Introductionunclassified

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Improving the Efficiency of Electric Modes Control Systems of Electric Arc Furnaces Through the Use of an Adaptive Impedance Regulator

Nikolaev¹,

Tulupov²,

Malakhov³

et al. 2021

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“…The interrelation of phase control channels and the influence of this factor on the dynamics of regulation of deterministic and stationary random perturbations are studied in [12,13]. Based on the results of the model research, constructive and systemic solutions for increasing the level of autonomy of phase perturbation control by weakening the interphase interactions of regimes are substantiated.…”

Section: Introductionmentioning

confidence: 99%

Study and Analysis of Dynamics and Energy Efficiency of Arc Steelmaking Furnace Electrical Mode with a Fuzzy Control Algorithm

2023

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A review of the control laws (models) of alternating current arc steelmaking furnaces’ (ASF) electric modes (EM) is carried out. A phase-symmetric three-component additive fuzzy model of electrode movement control signal formation is proposed. A synthesis of fuzzy inference systems based on the Sugeno model for the implementation of the proposed additive three-component fuzzy law of arc length control is performed. A structural computer Simulink model of the EM control system in a high-power arc steelmaking furnace of the DSP-200 type with an ARDM-T-12 arcs power regulator is created. Computer research into control dynamics indicators under the influence of deterministic perturbations and also integral indicators of energy efficiency when handling stationary random arc lengths fluctuations (corresponding to various technological stages of melting) are carried out. A comparative analysis of dynamics indicators, energy efficiency, and electromagnetic compatibility of the proposed fuzzy and known differential model of ASF arc lengths control is carried out. The implementation of the proposed fuzzy three-component additive control model in comparison with the existing deterministic differential one reduces the dispersion of voltages, currents, and arcs powers, reduces electrical losses in an arc furnace high-power network by 10–22% and increases the average arc power by 0.9–1.5%.

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“…Сочетания N ТР и N Р определяют форму электрических, рабочих и технологических характеристик, в том числе отражающих зависимость мощности электрической дуги P Д от тока дуги I Д , тем самым позволяя регулировать объём электрической энергии, вводимой в печь. В свою очередь, параметр N РК определяет текущий набор уставок параметра регулирования в системе управления первого уровня, определяя рабочую точку на электрической характеристике P Д = f(I Д ) и обеспечивая её поддержание за счёт управления гидравлическим приводом перемещения электродов [2]. Аналогичным образом контролируются значения коэффициента износа футеровки КИФ = f(Р Д , I Д ) и коэффициента интенсивности нагрева КИН = f(Р Д , I Д ).…”

Section: Introductionunclassified

Mathematical Model for the Harmonic Analysis of Electric Arc Currents and Voltages in an Electric Arc Furnace

Nikolaev¹,

Tulupov²,

Денисевич³

et al. 2021

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This paper analyzes how the relative effective total odd and even current and voltage harmonics of an electric arc in a furnace correlate with the thermal time constant of the arc, with the valve effect, and with the asymmetrical operation. The furnace circuit model was used to theorize upon the effectiveness of using even harmonics data to diagnose the charge melting stage during initial melting; and odd harmonics to analyze the late stages. The results of mathematical modeling helped draw guidelines for the design of the charge melting diagnosis unit to be part of the electrical parameters control system; the unit design depends on the furnace type. The results could be of use in research of better control algorithms for electric arc furnaces and lade furnaces with a focus on reducing the energy costs of producing molten steel.

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Comparative Analysis of Modern Electric Control Systems of Electric Arc Furnaces

Cited by 6 publications

References 9 publications

Improving the Efficiency of Electric Modes Control Systems of Electric Arc Furnaces Through the Use of an Adaptive Impedance Regulator

Improving the Efficiency of Electric Modes Control Systems of Electric Arc Furnaces Through the Use of an Adaptive Impedance Regulator

Study and Analysis of Dynamics and Energy Efficiency of Arc Steelmaking Furnace Electrical Mode with a Fuzzy Control Algorithm

Mathematical Model for the Harmonic Analysis of Electric Arc Currents and Voltages in an Electric Arc Furnace

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