<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Predictive Control of the Iron Ore Beneficiation Process Based on the Hammerstein Hybrid Model

Faculty of Information Technology and Electronics, Department of Programming and Mathematics

Volodymyr Dahl East Ukrainian National University

Faculty of Information Technologies, Computer Science and Technology Department

Acta Mechanica et Automatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Non-linear, dynamic, non-stationary properties characterize objects of the iron ore beneficiation line. Therefore, for their approximation, it is advisable to...

Predictive Control of the Iron Ore Beneficiation Process Based on the Hammerstein Hybrid Model

Online veröffentlicht: 30. Jan. 2020

Seitenbereich: 262 - 270

Eingereicht: 02. Aug. 2019

Akzeptiert: 15. Jan. 2020

DOI: https://doi.org/10.2478/ama-2019-0036

Schlüsselwörter
Predictive control, iron ore, beneficiation, Hammerstein model, recursive-parallel model

© 2019 Olga Porkuian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Predictive Control of the Iron Ore Beneficiation Process Based on the Hammerstein Hybrid Model

Online veröffentlicht: 30. Jan. 2020

Seitenbereich: 262 - 270

Eingereicht: 02. Aug. 2019

Akzeptiert: 15. Jan. 2020

DOI: https://doi.org/10.2478/ama-2019-0036

SchlüsselwörterPredictive control, iron ore, beneficiation, Hammerstein model, recursive-parallel model

© 2019 Olga Porkuian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Predictive control, iron ore, beneficiation, Hammerstein model, recursive-parallel model