Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Нечітке управління процесом регенерації іонообмінної смоли в промислових установках зм’якшення води

Shushura A.1, Tarasova I.2, Lapshin Y.3
1 Institute of Informatics and Artificial Intelligence of Donetsk National Technical University
2 Donetsk National Technical University
3 Державний університет інформатики та штучного інтелекту

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UDC: 004.896
Publication Language: Russian
Stuc. intelekt. 2009; 14(2):168-172

Abstract: The article deals with the problem of ionite metabolic tar regeneration process in industrial sets for water softening. Study of technology and characteristics of the process has been done; a model of the system of unclear controlling the process has been developed; the numerical analysis of the developed model has been given. The results obtained can be used for creating the system of automated control of the ionite metabolic tar regeneration process in industrial sets for water softening.

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