TY - GEN
T1 - Modeling and multivariable analysis of a flotation column system
AU - Castro, Cristian
AU - Vargas, Hector
AU - Farias, Gonzalo
AU - Fabregas, Ernesto
AU - Aracena, Alvaro
AU - Morales, Jaime
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - A column flotation cell is an industrial process used to recover mineral species of interest from the pulp of ore. The adoption of these cells by the mining industry is already a reality due to multiple advantages (lower cost of operation, less space occupation, substantial reduction of energy consumption and lower consumption of reagents) and it has motivated the interest of the scientific and industry world with the purpose of improving and optimizing this productive process. Despite the advances in the literature regarding the modeling of the process for control and optimization purposes, it is observed that models that are usually presented lack a profound variables interaction study and, in addition, practically all of them only analyze the steady-state operation without considering the dynamic behavior of the system. In this context, this paper presents a complete and compressive modeling and multivariable analysis of this process, providing important information for control purposes.
AB - A column flotation cell is an industrial process used to recover mineral species of interest from the pulp of ore. The adoption of these cells by the mining industry is already a reality due to multiple advantages (lower cost of operation, less space occupation, substantial reduction of energy consumption and lower consumption of reagents) and it has motivated the interest of the scientific and industry world with the purpose of improving and optimizing this productive process. Despite the advances in the literature regarding the modeling of the process for control and optimization purposes, it is observed that models that are usually presented lack a profound variables interaction study and, in addition, practically all of them only analyze the steady-state operation without considering the dynamic behavior of the system. In this context, this paper presents a complete and compressive modeling and multivariable analysis of this process, providing important information for control purposes.
KW - Flotation column
KW - Hankel Norm
KW - Interaction
KW - MIMO System
KW - Participation Matrix
KW - RGA
KW - System Identification
UR - http://www.scopus.com/inward/record.url?scp=85062194390&partnerID=8YFLogxK
U2 - 10.1109/ICA-ACCA.2018.8609809
DO - 10.1109/ICA-ACCA.2018.8609809
M3 - Conference contribution
AN - SCOPUS:85062194390
T3 - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings
BT - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
A2 - Duran-Faundez, Cristian
A2 - Lefranc, Gaston
A2 - Fernandez-Fernandez, Mario
A2 - Munoz, Carlos
A2 - Rubio, Ernesto
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
Y2 - 17 October 2018 through 19 October 2018
ER -
