Control of the temperature regime of the process of bacterial oxidation on the basis of fuzzy logic

Author:

Jumaev O. A.1,Kovaleva I. L.2,Mahmudov G. B.1

Affiliation:

1. Navoi State Mining and Technological University

2. Belarusian National Technical University

Abstract

The work is devoted to modeling the temperature control system for the process of bacterial oxidation of refractory gold-bearing sulfide ores. The simulation was performed using the Fuzzy Logic Toolbox editor in the MATLAB software package. The substantiation of the set of input and output variables, the type of membership functions was carried out, the base of rules for the inference engine was formed. The main stages of modeling are described and the results are analyzed. The use of trapezoidal membership functions is substantiated.

Publisher

Belarusian National Technical University

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference8 articles.

1. Sanakulov K.S., Ergashev U.A. Theory and practice of mastering the processing of gold-bearing refractory ores in the Kyzylkum. SE "Navoi Mining and Metallurgical Combine". – T .: SE "NIIMR", 2014, 286 p.

2. Jumaev, O.A., Nazarov, J.T., Sayfulin, R.R., Ismoilov, M.T., Mahmudov, G.B. Schematic and algorithmic methods of elimination influence of interference on accuracy of intellectual interfaces of the technological process. In Journal of Physics: Conference Series (Vol. 1679, No. 4, p. 042037). IOP Publishing. (2020, November).

3. Jumaev, O.A., Nazarov, J.T., Makhmudov, G.B., Ismoilov, M.T., Shermuradova, M.F. Intelligent control systems using algorithms of the entropie potential method. In Journal of Physics: Conference Series (Vol. 2094, No. 2, p. 022030). IOP Publishing. (2021, November).

4. Abdujaliliovich, J.O., Bakoyevich, M.G., Eldor, A. (2021). Fuzzy logic controller in the management of technological processes of bacterial oxidation. Web of Scientist: International Scientific Research Journal, 2(06), 191-197.

5. Yusupbekov, N.R., Jumaev O.A., Bakoevich M.G., Ismailov M.T. (2020). Development of intelligent control systems based on Fuzzy Logic. Journal of Advances in Engineering Technology, (2), 20-25.

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