Науковий вісник НГУ

The fuzzy regulator of mass fraction of iron in concentrate based on the magnetic induction signal in the separator work surface

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Category: Information technologies, systems analysis and administration

Last Updated on 28 July 2014

Published on 13 August 2013

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Authors:

T.V. Borshch, State Higher Educational Institution “National Mining University”, Assistant Lecturer of the Economic Cybernetics and Information Technology Department, Dnepropetrovsk, Ukraine.

Abstract:

Purpose of this paper is a theoretical justification of utility of the fuzzy logic theory use to improve the accuracy of automatic monitoring and magnetic ore concentration process control by the signals of the magnetic induction in the working area of the separator.

Methodology. An alternative way of development of automated control system based on the use of artificial intelligence technologies (neural networks, fuzzy logic) is proposed.

Findings of the study are the use of fuzzy logic for complex control systems in order to provide necessary quality control of the magnetic ore concentration process under conditions of processes’ nonstationarity, time delay, random perturbance, presence of fuzzy information.

Originality consists in the use of fuzzy logic to automate the magnetic ore concentration process by the signals of the magnetic induction, which will provide the necessary quality control under conditions of incomplete and fuzzy information about the object.

Practical Implementation consists in the use of artificial intelligence for automation of complex hard forming systems, what will increase concentration quality as well as reduce costs by less use of expensive equipment. 

References:

1. Кочура Е.В. Метод автоматического контроля массовой доли железа в концентрате магнитного сепаратара / Е.В. Кочура, Ислам Абдельхамид Юсеф Аль Бастонжи // Науковий вісник НГУ. – 2005. – № 10. – С. 86–89.

Kochura E.V. (2005), Metod avtomaticheskogo kontrolya massovoy doli zheleza v kontsentrate magnitnogo separatora, [Automatic control method of iron mass stake in the concentrate of magnetic separator], NGU, Dnepropetrovsk, Ukraine.

2. Воронов В.А. Многоуровневая оптимизация процессов обогащения / Воронов В.А. – М.: Изд-во Недра, 1994. – 153 с.

Voronov V.A. (1994), Mnogourovnevaya optimizatsiya protsesov obogashcheniya, [Multilevel optimization of concentration processes], Nedra, Moscow, Russia.

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Kupіn A.І. (2008), Intelektualna identefikatsia ta keruvannia v umovakh protsesiv zbagachuvalnoi tekhnologii, [Intellectual identification and management processes in the processing technology], KTU, Krivoy Rog, Ukraine.

4. Моркун B.C. Восстановление образа объекта управления на базе неполной и нечеткой информации: материалы III Международной конференции “Стратегия качества в промышленности и образовании” / B.C. Моркун, Н.С. Подгородецкий, А.А. Цокуренко  – Днепропетровск-Варна, ­ 2007. – Т. 2. – С. 587–590.

Morkun B.C., Podgorodetskiy H.C. and Tsokurenko A.A. (2007), “Renewal a character of object management on the base of incomplete and unclear information”, Strategiya kachestva v promyshlenosti i obrazovanii, [Strategy of quality is in industry and education], Dnipropetrovsk-Varna, pp. 587-590.

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