MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations

Juan Tisza; David Ortega

doi:10.1109/INTERCON52678.2021.9532941

MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations

Juan Tisza, David Ortega

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The paper presents the application of model-based predictive control (MPC) in the form of generalized predictive control (GPC), applied to the flotation process of a mineral concentrator plant, using the model of a pilot flotation column in the implementation. The objective of the work is to present the results of the application developed in the research and described in the article, in order to evaluate the behavior of the control strategy, including the cases in which there are temporary disturbances that produce strong drops with different duration times in the output variables. The effects on the system are evaluated as a function of the duration of the disturbances. It is intended to establish an indicator of the robustness of the control system and to show the effects it produces on the flotation process. The control algorithm is developed in Matlab. The results that verify the methodology are presented through graphs and tabulations.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665412216
DOIs	https://doi.org/10.1109/INTERCON52678.2021.9532941
State	Published - 5 Aug 2021
Externally published	Yes
Event	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Peru Duration: 5 Aug 2021 → 7 Aug 2021

Publication series

Name	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

Conference

Conference	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Country/Territory	Peru
City	Virtual, Lima
Period	5/08/21 → 7/08/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

control robustness
flotation column
Generalized predictive control (GPC)
perturbation
settling time

Access to Document

10.1109/INTERCON52678.2021.9532941

Cite this

Tisza, J., & Ortega, D. (2021). MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON52678.2021.9532941

Tisza, Juan ; Ortega, David. / MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

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abstract = "The paper presents the application of model-based predictive control (MPC) in the form of generalized predictive control (GPC), applied to the flotation process of a mineral concentrator plant, using the model of a pilot flotation column in the implementation. The objective of the work is to present the results of the application developed in the research and described in the article, in order to evaluate the behavior of the control strategy, including the cases in which there are temporary disturbances that produce strong drops with different duration times in the output variables. The effects on the system are evaluated as a function of the duration of the disturbances. It is intended to establish an indicator of the robustness of the control system and to show the effects it produces on the flotation process. The control algorithm is developed in Matlab. The results that verify the methodology are presented through graphs and tabulations. ",

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year = "2021",

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Tisza, J & Ortega, D 2021, MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations. in Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Institute of Electrical and Electronics Engineers Inc., 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Virtual, Lima, Peru, 5/08/21. https://doi.org/10.1109/INTERCON52678.2021.9532941

MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations. / Tisza, Juan; Ortega, David.
Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tisza, Juan

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N2 - The paper presents the application of model-based predictive control (MPC) in the form of generalized predictive control (GPC), applied to the flotation process of a mineral concentrator plant, using the model of a pilot flotation column in the implementation. The objective of the work is to present the results of the application developed in the research and described in the article, in order to evaluate the behavior of the control strategy, including the cases in which there are temporary disturbances that produce strong drops with different duration times in the output variables. The effects on the system are evaluated as a function of the duration of the disturbances. It is intended to establish an indicator of the robustness of the control system and to show the effects it produces on the flotation process. The control algorithm is developed in Matlab. The results that verify the methodology are presented through graphs and tabulations.

AB - The paper presents the application of model-based predictive control (MPC) in the form of generalized predictive control (GPC), applied to the flotation process of a mineral concentrator plant, using the model of a pilot flotation column in the implementation. The objective of the work is to present the results of the application developed in the research and described in the article, in order to evaluate the behavior of the control strategy, including the cases in which there are temporary disturbances that produce strong drops with different duration times in the output variables. The effects on the system are evaluated as a function of the duration of the disturbances. It is intended to establish an indicator of the robustness of the control system and to show the effects it produces on the flotation process. The control algorithm is developed in Matlab. The results that verify the methodology are presented through graphs and tabulations.

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Tisza J, Ortega D. MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021). doi: 10.1109/INTERCON52678.2021.9532941

MPC-GPC Control Applied to Flotation Process and Approach of Effects Evaluation with Strong Perturbations

Abstract

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Keywords

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