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

Author

Listed:
  • Yaroslav Paranchuk

    (Institute of Power Engineering and Control Systems, Lviv Polytechnic National University, 79-013 Lviv, Ukraine)

  • Daniel Jancarczyk

    (Department of Computer Science and Automatics, University of Bielsko-Biala, 43-309 Bielsko-Biala, Poland)

  • Pawel Falat

    (Department of Computer Science and Automatics, University of Bielsko-Biala, 43-309 Bielsko-Biala, Poland)

Abstract

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%.

Suggested Citation

  • Yaroslav Paranchuk & Daniel Jancarczyk & Pawel Falat, 2023. "Study and Analysis of Dynamics and Energy Efficiency of Arc Steelmaking Furnace Electrical Mode with a Fuzzy Control Algorithm," Energies, MDPI, vol. 16(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3451-:d:1123807
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    References listed on IDEAS

    as
    1. Zbigniew Olczykowski, 2022. "Arc Voltage Distortion as a Source of Higher Harmonics Generated by Electric Arc Furnaces," Energies, MDPI, vol. 15(10), pages 1-23, May.
    2. Zbigniew Olczykowski, 2021. "Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry," Energies, MDPI, vol. 14(16), pages 1-18, August.
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    Cited by:

    1. Jacek Kozyra & Andriy Lozynskyy & Zbigniew Łukasik & Aldona Kuśmińska-Fijałkowska & Andriy Kutsyk & Lidiia Kasha, 2023. "Increasing the Level of Autonomy of Control of the Electric Arc Furnace by Weakening Interphase Interactions," Energies, MDPI, vol. 16(24), pages 1-16, December.

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