Iron ore grinding process at the concentrating plant under fuzzy and incomplete parameters

D. Shvets
Received 03.06.2021, Revised 22.10.2021, Accepted 19.11.2021, Published 17.12.2021
Abstract

To model the first technological phase of iron ore grinding process in the mill and classification at the concentrating plant, to control over the grinding process in terms of stochasticity of technological parameters. The methods of automatic control theory and mathematical modeling are to estimate transients; fuzzy logic methods are to control over the processing iron ore raw materials with fuzzy and incomplete technological parameters. The listed iron ore processing parameters that most influence the grinding process enable to improve the existing mathematical models of processing iron ore raw materials at the first stage of grinding and classification at the ore-processing plants. The fuzzy logic automatic control system of the first ore grinding and classification meets effectively the challenges that cannot be solved by classical methods due to high complexity and lack of sufficient technological data. Formalizing the rules for a fuzzy approach provides more precise result and is superior to others. Fuzzy logic can formalize the dependencies of any complexity, parameters in the controller with fuzzy logic can vary, fuzzy models are highly adaptable to expert data. The structural and functional analysis of the iron ore processing; the characteristics of technological parameters influencing the quality of grinding ore raw materials. The automated control of a first stage mill with fuzzy logic regulator consider the following technological input parameters: productivity of input ore, water consumption in the mill, ore hardness coefficient correlated with total iron content in ore, and sand consumption in the unloading cycle. A system of automatic control of the mill based on fuzzy logic was developed; a study of the operation of the mill using the Simulink tool for modeling and analysis of dynamics.

Keywords:
iron ore; grinding; mill; fuzzy logic; automated control; mathematical model

Retrieved from Vol. 19, No. 2, 2021

Pages 163–169

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Shvets, D. (2021). Iron ore grinding process at the concentrating plant under fuzzy and incomplete parameters. Journal of Kryvyi Rih National University, 19(2), 163-169. https://doi.org/10.31721/2306-5451-2021-1-53-163-169
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