Modeling of fuzzy logic for control of the process of bacterial oxidation of concentrates in reactors with a mixer
Journal Title: Modern Innovations, Systems and Technologies - Year 2022, Vol 2, Issue 2
Abstract
The multiplicity of chemical, biological, technological parameters and the nonlinear dependence in the extraction of metals in bacterial oxidation media complicate the mathematical modeling of these systems. This study was conducted to control the recovery of gold and iron from flotation concentrate in a stirred bioreactor using a fuzzy logic model. The experiments were carried out in the presence of a mixed culture of acidophilic bacteria (Lactobacillus acidophilus) at 42°C and a mixed culture of moderately thermophilic bacteria at 48°C. The input variables were: operation method, type of bacteria and time. The extracted gold and iron were the output. The connection between the specified input data and the output data was provided using the developed "IF-THEN" rules. The resulting fuzzy model showed a satisfactory prediction of gold and iron recovery and had a good correlation of experimental data with R-square (more than 0.97). The results of the study showed that fuzzy logic is a powerful and reliable tool for predicting nonlinear and time-varying bacterial oxidation processes.
Authors and Affiliations
G. B. Mahmudov, A. Kh. Saidova, N. T. Mokhilova
Keywords
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- EP ID EP706185
- DOI https://doi.org/10.47813/2782-2818-2022-2-2-0201-0214
- Views 97
- Downloads 0
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