Design of a Robust MPC for Copper Recovery in an Industrial Flotation Column

被引：0

作者：

Rivas-Perez, R. ^{[1
,2
]}

Sotomayor-Moriano, J. ^{[1
]}

Perez-Zuniga, C. G. ^{[1
]}

Ccarita, J. ^{[1
]}

机构：

[1] Pontificia Univ Catolica Peru, Dept Ingn, Ave Univ 1801, Lima, Peru

[2] Univ Tecnol Habana, Dept Automat & Computac, Calle 114,11901 Cujae, Havana 19390, Cuba

来源：

IFAC PAPERSONLINE | 2023年 / 56卷 / 02期

关键词：

Robust control; min-max approach; predictive control; column flotation cell; copper recovery process; system identification; additive uncertainties; PREDICTIVE CONTROL;

D O I：

10.1016/j.ifacol.2023.10.1838

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the design of a RMPC (Robust Model Predictive Controller) for effective control of the copper recovery in an industrial flotation column. Copper ore properties vary frequently causing uncertainties and disturbances in the dynamics of the recovery process in the flotation column. Using the system identification tools, a MIMO model of this plant was achieved, whose validation results exhibited adequacy degrees of 88.21% for froth depth, and 87.32% for air holdup. The design of the RMPC was carried out based on the nominal MIMO model and its obtained uncertainties. It was demonstrated that the designed RMPC makes it possible to control the process with high precision under various industrial operation scenarios. The simulation results of the control system designed with the RMPC and the GPC (Generalized Predictive Controller) revealed an improved performance when using the RMPC.

引用

页码：4448 / 4453

页数：6

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