Modeling of Electrical Modes of Arc Furnace with Fuzzy Adjustment of Arc Lengths

Paranchuk, Yaroslav; Stakhiv, Petro; Moroz, Volodymyr; Бойчук, Б. Г.

doi:10.1109/tcset55632.2022.9767062

Cited by 3 publications

(1 citation statement)

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“…In [15], it is proposed to use a parallel fuzzy corrector of the comparison block (BC) signal and, in [36], a neurocontroller to generate an EM mismatch signal. Their use improves the dynamic accuracy of the EM coordinates stabilization, but the correlation of the arc length control phase channels in certain states of the EM is not eliminated.…”

Section: Overview Of Electric Arc Furnace Mode Control Lawsmentioning

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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Section: Overview Of Electric Arc Furnace Mode Control Lawsmentioning

confidence: 99%