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Analysis and Synthesis of Intelligent System for Electric Mode Control in Electric Arc Furnace

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Analysis and Simulation of Electrical and Computer Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 452))

Abstract

The hierarchical structure of the adaptive optimal control system for electric mode (EM) of the electric arc furnace is proposed. Components of the systemic control vector and a technique of its synthesis for complex criterion of minimum dispersion and maximum arc power is substantiated. The model of adapting the control vector to change of technological stages and stochastic characteristics of perturbations was developed. Systemic solutions for recognition of technological stages of steel melting and identification of moments of their change based on a neural network were studied. Circuit design solutions for operational measurement of informative parameters of the steel-melting process using wavelet transform are proposed. Results of the experimental study of the neural network melting stage recognition system for electric arc furnace DSP-3 are presented.

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References

  1. Kudrin, B.I.: Retrospective and perspective views on electric power consumption in electrometallurgy. Part 1. Electrometall. J. 10, 2–13 (2003)

    Google Scholar 

  2. Balan, R., Maties, V., Hancu, O., Stan, S., Ciprian, L.: Modeling and control of an electric arc furnace. In: Mediterranean Conference on Control and Automation, MED ’07, pp. 1–6 (2007)

    Google Scholar 

  3. UA Patent No. 53074 A. Ukraine. Device for regulation of electrical mode of multi-phase electric arc furnace. O. Yu. Lozynskyy, A. O. Lozynskyy, Ya.S. Paranchuk, R.Ya. Paranchuk. - Published 15/01/03.- Bulletin No. 1

    Google Scholar 

  4. Paranchuk, Y.S.: Harmonic analysis of current of magnetic thyristor voltage converter. Tekhnichna Electrodynamika J. Power Electron. Energy Effic. 2, 37–40 (2002)

    Google Scholar 

  5. Bedyn, M., Romano, M.: Electric arc furnace powered by self-saturating reactor. Electrometall. J. 4, 15–20 (2004)

    Google Scholar 

  6. Lozinskyi, O.Y., Paranchuk, Y.S.: System for the optimum control of the electrical conditions of an arc furnace powered through a controlled reactor. Russ Metall (Metally) (English Translation of Elektrometallurgiya) 8, 737–743 (2007)

    Article  Google Scholar 

  7. Lozynskyy, O., Paranchuk, Y., Paranchuk, R.: Multicriterion intelligent control system and optimal stabilization of arc steel-melting furnace electrical regimes coordinates. Comput. Probl. Electr. Eng. 1(1), 35–44 (2011)

    Google Scholar 

  8. Lozynskyy, O.Y., Paranchuk, Y.S.: Hierarchical system of multi criteria optimal control of electric arc furnace modes with fuzzy adaptation. Tekhnichna Elektrodynamika J. 3, 103–104 (2012)

    Google Scholar 

  9. Lozinskyy, O.Y., Paranchuk, Y.S.: Optimization of modes control system for electric steel-melting in electric arc furnaces. Electrotekhnika J. 6, 50–54 (2004)

    Google Scholar 

  10. Gomes, A.A., Durango, J.J.M., Mejia, A.E.: Electric arc furnace modeling for power quality analysis. In: ANDESCON, IEEE, pp. 1–6 (2010)

    Google Scholar 

  11. Paranchuk, Y.S., Paranchuk, R.Y.: Neutral network system for continuous voltage monitoring in electric arc furnace. Sci. Bull. Natl. Min. Natl. Min. Univ. 2(152), 74–80 (2016)

    Google Scholar 

  12. Schlang, M., Poppe, T., Gramckow, O.: Neural networks for steel manufacturing. IEEE Expert Intell. Syst. 11(4), 8–9 (1996)

    Google Scholar 

  13. Lozynskyy, O.Y., Marushchak, Y.Y.: Some aspects of control actions formation in electromechanical systems. Electrotekhnika J. 5, 52–56 (1999)

    Google Scholar 

  14. Lozynskyy, O., Paranchuk, Y., Paranchuk, R.: Modelling of power control of arc steel melting furnace with fuzzy correction of regulation signal. Przegląd Electrotechniczny 3a, 265–267 (2013)

    Google Scholar 

  15. Lozynskyy, A.O., Paranchuk, Y.S., Demkiv, L.I.: Study of the electrode positioning system of electric arc furnace with fuzzy controller. Tekhnichna Elektrodynamika J. 2, 73–76 (2014)

    Google Scholar 

  16. Lozynskyy, O., Paranchuk, Y., Paranchuk, R.: Fuzzy control law of electrode travel in arc steelmaking furnace. In: Proceedings of the 16th International Conference on Computational Problems of Electrical Engineering, pp. 103–106. Lviv, Ukraine (2015)

    Google Scholar 

  17. Sadeghian, A., Lavers, J.D.: Nonlinear black-box modelling of electric arc furnace: an application of fuzzy logic systems. In: Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE’99, 1999 IEEE International, Vol. 1, pp. 234–239 (1999)

    Google Scholar 

  18. Zhao, H.: NN-based approximate model control for the EAF electrode regulator system. Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 874890, p 11 (2013)

    Google Scholar 

  19. Liand, L., Mao, Z.: A direct adaptive controller for EAF electrode regulator system using neural networks. Neurocomputing 82, 91–98 (2012)

    Article  Google Scholar 

  20. Paranchuk, Y., Matsyhin, A.: The system of arc lengths regulation of an electric arc furnace with a neuro-controller. Przegląd Electrotechniczny 3a, 271–273 (2013)

    Google Scholar 

  21. Malyar, A.V., Andreishyn, A.S.: Selection of a neural network for computing filling factor of the deep well pump. Probl. Autom. Electr. Drive Theory Pract. Special issue of Electromekhanichni ta Eletrozberigaiyuchi Systemy Journal. Kremenchuk 3(19), 543–545 (2012)

    Google Scholar 

  22. Lozynskyy, A.O., Kostyniuk, L.D., Paranchuk, Y.S., Perevozniuk, V.Y., Smetaniuk, Y.V.: Automated recognition of technological stages of furnace feed melting. Electrotekhnika J. 9, 39–42 (1986)

    Google Scholar 

  23. Denys, B.D., Lozynskyy, O.Y., Kostyniuk, L.D., Perevozniuk, V.Y.: Method of identification of technological melting stages and process end moment recognition in electric arc furnaces. Electrotekhnika J. 2, 8–10 (1985)

    Google Scholar 

  24. Lozynskyy, O.Y., Kostyniuk, L.D., Perevozniuk, V.Y.: Automated system of recognition of melting stages in EAF. Electrotekhnika J. 3, 23–24 (1987)

    Google Scholar 

  25. Chang, G.W., Shih, M.-F., Chen, Y.-Y., Liang, Y.-J.: A hybrid wavelet transform and neural-networks-based approach for modelling dynamic voltage-current characteristics of electric arc furnace. IEEE Trans. Power Deliv. 29, 815–824 (2014)

    Article  Google Scholar 

  26. Li, D.-M., Yu, X.-Y., Wang, X., Tang, T.-Q.: Power quality disturbances fuzzy identification based on DQ conversion and wavelet energy distribution. In: Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference, pp. 1403–1407 (2012)

    Google Scholar 

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Authors and Affiliations

  1. National University “Lviv Polytechnic”, Lviv, Ukraine

    Orest Lozynskyy, Andriy Lozynskyy, Yaroslav Paranchuk, Roman Paranchuk, Yaroslav Marushchak & Andriy Malyar

Authors
  1. Orest Lozynskyy
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  2. Andriy Lozynskyy
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  3. Yaroslav Paranchuk
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  4. Roman Paranchuk
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  5. Yaroslav Marushchak
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  6. Andriy Malyar
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Corresponding author

Correspondence to Orest Lozynskyy .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering Fundamentals, Rzeszów University of Technology, Rzeszów, Poland

    Damian Mazur

  2. Department of Electrical and Computer Engineering Fundamentals, Rzeszów University of Technology, Rzeszów, Poland

    Marek Gołębiowski

  3. Department of Electrical and Computer Engineering Fundamentals, Rzeszów University of Technology, Rzeszów, Poland

    Mariusz Korkosz

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Lozynskyy, O., Lozynskyy, A., Paranchuk, Y., Paranchuk, R., Marushchak, Y., Malyar, A. (2018). Analysis and Synthesis of Intelligent System for Electric Mode Control in Electric Arc Furnace. In: Mazur, D., Gołębiowski, M., Korkosz, M. (eds) Analysis and Simulation of Electrical and Computer Systems. Lecture Notes in Electrical Engineering, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-319-63949-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-63949-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63948-2

  • Online ISBN: 978-3-319-63949-9

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