Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/2089
Title: Predictive control of the iron ore beneficiation process based on the hammerstein hybrid model
Authors: Porkuian, Olga
Morkun, Volodymyr
Моркун, Володимир Станіславович
Моркун, Владимир Станиславович
Morkun, Natalia
Моркун, Наталя Володимирівна
Моркун, Наталья Владимировна
Serdyuk, Oleksandra
Сердюк, Олександра Юріївна
Сердюк, Александра Юрьевна
Keywords: predictive control
iron ore
beneficiation
Hammerstein model
recursive-parallel mode
Issue Date: 2019
Publisher: Sciendo is a De Gruyter company
Citation: Predictive control of the iron ore beneficiation process based on the hammerstein hybrid model / O. Porkuian, V. Morkun, N. Morkun, O. Serdyuk // Acta Mechanica et Automatica. – 2019. – Vol. 13, no 4. – P. 262–270. – References: p. 269–270.
Abstract: Non-linear, dynamic, non-stationary properties characterize objects of the iron ore beneficiation line. Therefore, for their approximation, it is advisable to use models of the Hammerstein class. As a result of comparing the three models of Hammerstein: simple, parallel and recursive-parallel, it was shown that the best result for identifying the considered processes of magnetic beneficiation of iron ore by the minimum error criterion was obtained using the Hammerstein recursive-parallel model. Hence, it is recommended for the identification of beneficiation production objects.
URI: http://ds.knu.edu.ua/jspui/handle/123456789/2089
http://doi.org/10.2478/ama-2019-0036
ISSN: 2300-5319 (Online)
Appears in Collections:Кафедра автоматизації, комп'ютерних наук і технологій
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