The Development of a Process Control System for the Production of Partially Reducing Nickel Oxide in a Tubular Rotary Kiln

  • Authors

    • Yu. V. Sharikov
    • C Liu
    2018-09-07
    https://doi.org/10.14419/ijet.v7i3.19.16994
  • .
  • This article describes the results of a control system development by the process of nickel oxide reducing to obtain partially reducing nickel oxide (PRNO) in a tubular rotary kiln (TRK). The purpose of the recovery in TRK is to obtain an enlarged, maximally recovered product before the anode electric fusion, since such an electrically conductive product, as partially reduced nickel oxide (PRNO), allows to reduce the electricity and reducing agent consumption during the process of electric smelting, which is economically advantageous. TRK is an object with distributed parameters. The reducing product quality is determined by the temperature profile along a kiln length. The development of a temperature profile control system is required, ensuring the receipt of a specified quality product for the objects with distributed parameters. The cell model was used in the work, corresponding to the 5 technological zones of the process, the dynamic model of the object was constructed and the dynamic behavior of the object was studied with step perturbations and the use of 3 different control systems. The analysis of the obtained data made it possible to establish that the best control results are obtained by a fuzzy regulator use.

     

  • References

    1. [1] Zhunusov M.T. Metallurgy of nickel at "Severonickel" plant. / Zhunusov M.T., Sinko A.V., Maltsev N.A. / Selected lectures, 1994. - 153 p.

      [2] Metallurgy of copper, nickel and cobalt. V.2. / I.F. Khudyakov, A.I. Tikhonov, V.I. Deev, S.S. Naboichenko. - Moscow: Metallurgy, 1977. - 263 p.

      [3] Y.Sharikov, F. Sharikov, O. Titiv. Mathematical modeling of the processes in the tubular rotatry kiln. LAP, Lambert Academic Publishing, AV Akademikverlag, GmbH & Co, KG Heinrich-Boecking-Str. 6-8, 662121, SaarBruecken, Deutschland, Germany, 2013.

      [4] Matzopoulos M. Dynamic Process Modeling: Combining Models and Experimental Data to Solve Industrial Problems. // Process Systems Engineering: Vol. 7 DynaIfhbrjmic Process Modeling. Edited by M.C. Georgiadis, J.R. Banga and E.N. Pistikopoulos. ©2011 WILEY-VCH Verlag GmbH & Co.

      [5] Asprey S.P., Macchietto S. Statistical tools for optimal dynamic model building. // Computers and Chemical Engineering 24 (2000), P. 1261–1267.

      [6] Schneider R., Sander F., Gorak A. Dynamic simulation of industrial reactive absorption processes. // Chemical Engineering and Processing 42 (2003), P. 955–964.

      [7] Foss B.A., Lohmann B., Marquardt W. A field study of the industrial modeling process. // Journal of Process Control, 8 (1998), P. 325–338.

      [8] Yu.V. Sharikov, I.N. Beloglazov, The modeling of systems. Part 1. Synthesis of technological object models on the basis of equations of hydrodynamics and chemical kinetics, St. Petersburg Mining University, St. Petersburg, 2011., 108 p.

      [9] Yu.V. Sharikov, I.N. Beloglazov, The modeling of systems. Part 2. The methods of mathematical model numerical realization. St. Petersburg Mining University, St. Petersburg, 2012., 118 p.

      [10] Fedorov A.F., Kuzmenko E.A. Control systems for chemical-technological processes: the manual. - Tomsk: Publishing house of Tomsk Polytechnic University, 2009. - 224 p.

      [11] T. Ya. Lazareva, Yu. F. Martemyanov. Fundamentals of Automatic Control Theory, Tambov, TSTU Publishing house, 2003

      [12] Encyclopaedia of ACS TP [Electronic resource]. www.bookasupt.ru/Chapter5_5.aspx (Reference date 06.06.2015).

      [13] Matlab. Exponenta. Competence center MathWorks [Electronic resource]. http://matlab.exponenta.ru/simulink/book3/6.php (Reference date 24.06.2015).

      [14] Matlab. Exponenta. Competence center MathWorks [Electronic resource]. http://matlab.exponenta.ru/fuzzylogic/book1/1_7.php (Reference date 23.06.2015).

      [15] Matlab. Exponenta. Competence center MathWorks [Electronic resource]. http://matlab.exponenta.ru/fuzzylogic/book1/7_1.php (Reference date 23.06.2015).

      Competence center MathWorks [Electronic resource]. http://matlab.ru/products/matlab (Reference date 30.06.2015).
  • Downloads

  • How to Cite

    V. Sharikov, Y., & Liu, C. (2018). The Development of a Process Control System for the Production of Partially Reducing Nickel Oxide in a Tubular Rotary Kiln. International Journal of Engineering & Technology, 7(3.19), 97-104. https://doi.org/10.14419/ijet.v7i3.19.16994