Statistics

    Map

Twitter

Predictive Control applied to a mathematical model of a Flotation Column
( Vol-5,Issue-10,October 2018 )
Author(s):

Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo

Keywords:

Flotation Column, Multivariable Predictive Control, Mining, Optimization, Restrictions.

Abstract:

As the flotation process is multivariable, this work investigates the implementation of a predictive multivariable controller for operation a typical flotation column. This controller was tested using a model with delays of a prototype column mounted on Nuclear Technology Development Center (CDTN). Taking as input signals the flushing wash water, air feeding, and non floated fraction flow rates, the controller determines the froth layer height and air holdup in the recovery zone. This control maintains stability. The operation of the controller is based on the optimization of a cost function. The conducted tests were based on the change of setpoint of the controlled variables. It was intended to analyze the system behavior for different operation conditions, considering the constraints of the process and the response speed.

ijaers doi crossref DOI:

10.22161/ijaers.5.10.15

Paper Statistics:
  • Total View : 93
  • Downloads : 20
  • Page No: 110-114
Cite this Article:
MLA
Júlia Maria de Carvalho Vale et al ."Predictive Control applied to a mathematical model of a Flotation Column". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol 5, no. 10, 2018, pp.110-114 AI Publications, doi:10.22161/ijaers.5.10.15
APA
Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo(2018).Predictive Control applied to a mathematical model of a Flotation Column. International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),5(10), 110-114. http://dx.doi.org/10.22161/ijaers.5.10.15
Chicago
Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo. 2018,"Predictive Control applied to a mathematical model of a Flotation Column". International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(10):110-114. Doi: 10.22161/ijaers.5.10.15
Harvard
Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo. 2018,Predictive Control applied to a mathematical model of a Flotation Column, International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)).5(10), pp:110-114
IEEE
Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo."Predictive Control applied to a mathematical model of a Flotation Column", International Journal of Advanced Engineering Research and Science(ISSN : 2349-6495(P) | 2456-1908(O)),vol.5,no. 10, pp.110-114,2018.
Bibtex
@article {júliamariadecarvalhovale2018predictive,
title={Predictive Control applied to a mathematical model of a Flotation Column},
author={Júlia Maria de Carvalho Vale, Gabriela Fernanda de Azevedo},
journal={International Journal of Advanced Engineering Research and Science},
volume={5},
year= {2018},
}
Share:
References:

[1] Lima, L. B. (2008). Controle ótimo H2 para coluna de flotação. Dissertação (Mestrado em Engenharia Mineral) - Universidade Federal de Ouro Preto. Ouro Preto, MG, Brazil.
[2] Prakash, R., Majumder, S. K., & Singh, A. (2018, May 1). Flotation technique: Its mechanisms and design parameters. Chemical Engineering and Processing - Process Intensification. Elsevier B.V. https://doi.org/10.1016/j.cep.2018.03.029.
[3] Bouchard, J., Desbiens, A., del Villar, R., & Nunez, E. (2009, May). Column flotation simulation and control: An overview. Minerals Engineering. https://doi.org/10.1016/j.mineng.2009.02.004.
[4] Persechini, M. A. M. (2001). Estratégias de controle para o processo de flotação em coluna. Tese (Doutorado em Engenharia Elétrica) - Universidade Federal de Belo Horizonte. Belo Horizonte, MG, Brazil.
[5] Bravo, C. O. A. e Normey-Rico, J. E. (2009). Controle de plantas não lineares utilizando controle preditivo linear baseado em modelos locais. Controle e Automação, Outubro, Novembro e Dezembro, 20(4): pp. 465–481, 2009.
[6] Júnior, Gesner Andrade. (2015). Sintonia ótima de controladores MPC considerando incertezas de modelagem. Dissertação (Mestrado em Engenharia Industrial) - Universidade Federal da Bahia. Salvador, BA, Brazil.
[7] Favaro, J. (2012). Controle preditivo aplicado à planta piloto de neutralização de ph. Dissertação (Mestrado em Engenharia de Telecomunicações e Controle) - Universidade de São Paulo. São Paulo, SP, Brazil.