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

https://doi.org/10.21122/2309-4923-2023-2-42-47

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.

About the Authors

O. A. Jumaev
Navoi State Mining and Technological University
Uzbekistan

Doctor of Technical Sciences, Professor of the Department of Automation and Control, NSMTU.

Navoi, Uzbekistan



I. L. Kovaleva
Belarusian National Technical University
Belarus

Associate Professor of the Department of Software for Information technologies and systems

Minsk, Belarus



G. B. Mahmudov
Navoi State Mining and Technological University
Uzbekistan

Assistant of the department "Automation and control" NSМTU.

Navoi, Uzbekistan



References

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).

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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.

6. Mahmudov G.B., Saidova A.Kh., Mokhilova N.T. Fuzzy logic modeling for controlling the process of bacterial oxidation of concentrates in reactors with a stirrer // Modern innovations, systems and technologies, 2022, vol. 2, no. 2, pp. 02010214.

7. Jumaev O.A., Mahmudov G.B., Mazhidova R.B. Applications of a fuzzy controller to control the process of gold leaching from bacterial opening products. Journal of Advances in Engineering Technology, 2022, no. 1, pp. 5-9.

8. Botirov, T.V., & Makhmudov, G.B. (2023). Software development for a fuzzy control system for a bioreactor. In WORLD OF SCIENCE 2023 (pp. 18-20).


Review

For citations:


Jumaev O.A., Kovaleva I.L., Mahmudov G.B. Control of the temperature regime of the process of bacterial oxidation on the basis of fuzzy logic. «System analysis and applied information science». 2023;(2):42-47. (In Russ.) https://doi.org/10.21122/2309-4923-2023-2-42-47

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ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)