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Energy-Saving Extremal Control of an Electrical Mode for Electric Arc Units

  • Electric Arc Smelting
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A Correction to this article was published on 27 November 2018

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Abstract

The aim of this research is to determine a rationale and build a system for electrical mode control to ensure the maximum possible hourly capacity of an electric arc unit. To achieve this objective, a double-circuit control structure with independent stabilizing and optimizing control circuits is proposed. To build the optimizing circuit, the principles of extremal control and fuzzy logic are used to choose the optimum current and arc power of the processing unit. Simulations of production revealed that it took 28 s to achieve an optimum mode from the moment of arc ignition, and when increasing the number of taps on the furnace transformer from 14 to 23, the system achieved the optimum mode of power consumption in 12 s. To transfer this control approach to electric arc units in production, the developed and tested software system based on the optimized circuit for electrical mode control would require only adaptation to relevant conditions without major changes.

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Change history

  • 27 November 2018

    Oxana Sergeevna Logunova’s name appeared incorrectly in the original publication of this article. It appears correctly here.

  • 27 November 2018

    Oxana Sergeevna Logunova?s name appeared incorrectly in the original publication of this article. It appears correctly here.

References

  1. Energy saving in ferrous metallurgy. http://mec-energo.ru/2011-10-03-19-09-18. Accessed 1 Feb 2018.

  2. N. Honjo, M. Tsuno, and M. Shinkai, Electr. Furn. Steel 70, 163–171 (1999). https://doi.org/10.4262/denkiseiko.70.163.

    Article  Google Scholar 

  3. 98/03257 Injection burner for auxiliary heating of scrap charge in electric-arc furnace for steelmaking. https://docslide.com.br/documents/9803257-injection-burner-for-auxiliary-heating-of-scrap-charge-in-electric-arc.html. Accessed 5 Feb 2018.

  4. G.P. Kornilov, A.A. Nikolaev, and V.V. Anokhin, Metallurgist (2016). https://doi.org/10.1007/s11015-016-0367-7.

    Article  Google Scholar 

  5. A.A. Nikolaev, G.P. Kornilov, A.V. Anufriev, S.V. Pekhterev, and E.V. Povelitsa, Steel Trans. 44, 289–297 (2014).

    Article  Google Scholar 

  6. A.Z. Shevtsov, P.I. Yugov, and G.N. Okorokov, Metallurgist 42, 477 (1998). https://doi.org/10.1007/BF02511768.

    Article  Google Scholar 

  7. V.A. Bigeev, AKh Valiakhmetov, Y. Burak, and A.N. Fedyanin, Vestnik Nosov Magnitogorsk State Tech. Univ. 1, 15–18 (2014).

    Google Scholar 

  8. O.S. Logunova, E.G. Filippov IV, and V.V.Pavlov Pavlov, Steel Trans. (2013). https://doi.org/10.3103/s0967091213010051.

    Article  Google Scholar 

  9. O.S. Logunova, and N.S. Sibileva, Intelligent support system of steel technical preparation in an arc furnace: functional scheme of interactive builder of the multi objective optimization problem, in IOP Conference Series: Materials Science and Engineering, p 287 (2018). https://doi.org/10.1088/1757-899x/287/1/012009.

  10. V.V. Kazakevich and A.B. Rozov, Automatic Optimization Systems (Moscow: Energy, 1997).

    Google Scholar 

  11. B.N. Parsunkin, A.V. Lednov, T.G. Sukhonosova, and J.A. Lednova, Int. J. Adv. Manuf. Technol. 10, 2 (2017). https://doi.org/10.1007/s00170-017-0788-x.

    Article  Google Scholar 

  12. A.D. Svenchansky, I.T. Zherdev, and A.M. Kruchinin, et al., Industrial Electric Furnaces. Electric Arc Furnaces and Special Heating Facilities (Moscow: Energoizdat, 1981).

    Google Scholar 

  13. N.A. Markov, Electrical Furnaces and Modes of Electric Arc Furnaces (Moscow: Metallurgizdat, 1975).

    Google Scholar 

  14. YuE Efroynovich, Optimum Electrical Modes of Electric Arc Furnaces (Moscow: Metallurgizdat, 1956).

    Google Scholar 

  15. E.E. Merker, V.A. Fedena, and D.A. Kharlamov, Ferr. Metals 7, 37–39 (2004).

    Google Scholar 

  16. I.V. Lapshin, Automation of EAF Processes (Moscow: MISIS, 2002).

    Google Scholar 

  17. K.A. Pupkov, N.D. Egupov, A.I. Barkin, E.M. Voronov, A.P. Kurdyukov, V.N. Pilishkin, V.M. Rybin, V.N. Timin, N.V. Faldin, N.B. Filimonov, and M.M. Chaikovsky, Methods of Conventional and Modern Theories of Automatic Control (Moscow: Bauman MSTU, 2004).

    Google Scholar 

  18. B.N. Parsunkin, S.M. Andreev, and E.N. Ishmetiev, Automatic Optimization Process Control Systems Storing Extremum (Nosov MSTU: Magnitogorsk, 2015).

    Google Scholar 

  19. I.Z. Batyrshin, Key Operations of Fuzzy Logic and Their Generalization (Otechestvo: Kazan, 2001).

    Google Scholar 

  20. T. Terano, K. Asai, and M. Sugeno, Applied Fuzzy Systems (Moscow: Mir, 1993).

    MATH  Google Scholar 

  21. L.A. Zadeh, The Concept of a Linguistic Variable and Its Application to Approximate Reasoning (New York: Elsevier, 1973).

    Google Scholar 

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Correspondence to Oxana Segeevna Logunova.

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Parsunkin, B.N., Usachev, M.V., Logunova, O.S. et al. Energy-Saving Extremal Control of an Electrical Mode for Electric Arc Units. JOM 71, 342–348 (2019). https://doi.org/10.1007/s11837-018-3202-8

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  • DOI: https://doi.org/10.1007/s11837-018-3202-8

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