Use of CAD for a copper grinding identification system

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José Leonardo Benavides Maldonado
Edgar Ochoa
Hernan Castillo
Gonzalo Riofrio
Jorge Tocto

Abstract

Ecuador currently proposes a productive matrix based not only on oil extraction but also on exploiting some minerals. As the mining of copper is a sector with many needs to solve, one of them is the control of weight at the exit of the same. For this reason, the University National of Loja built a prototype of a scale laboratory for trituration copper. The mathematical model of the same one was identified, employing two methodologies for the identification, one based on CADCS (Computer Aided Designed and Control Systems) and the other in Ident (identification system) that owns the MATLAB® software, to optimize this process. Next, four algorithms were presented that allowed control of the crushing process in a simulation: PID and Smith Predictor. Then, the results of the most relevant parameters were presented in a table. Finally, the best algorithm of control selected was implemented with the help of Arduino.

Article Details

How to Cite
Use of CAD for a copper grinding identification system. (2019). MASKAY, 9(2), 41-50. https://doi.org/10.24133/maskay.v9i2.1111
Section
TECHNICAL PAPERS
Author Biography

José Leonardo Benavides Maldonado, Universidad Nacional de Loja

Control Automático

How to Cite

Use of CAD for a copper grinding identification system. (2019). MASKAY, 9(2), 41-50. https://doi.org/10.24133/maskay.v9i2.1111

References

[1] ECSA, “Informe técnico de ECSA,” Disponible en: http://www.ecuacorriente.com/, 2010.

[2] D. Sbarbaro, “Control of Crushing circuits with variable speed drivers" in Proc. of IFAC, 2005, pp. 1-4.

[3] Acuña. G, Curilem. M, and Cubillos. F, “Desarrollo de un Sensor Virtual basado en Modelo NARMAX y Máquina de Vectores de Soporte para Molienda Semiautógena,” RIAI (Revista Iberoamericana de Automática e Informática Industrial), vol. 11, no. 1, pp. 109-112, 2014.

[4] Santos. A, “Inexpensive apparatus for control laboratory experiments using advanced control methodolgies,” in Proc. of the IFAC, 1999, pp. 61-78

[5] Moriano. F, “Modelado y control de un nuevo sistema bola viga con levitación magnética", RIAI (Revista Iberoamericana de Automática e Informática Industrial), vol. 9, no. 3, pp. 258-261, 2012.

[6] Benavides. J, Del Pozo. A, Salinas. E, and Ochoa. J , “Identification and control of a laboratory-scale for prototype for crushing copper,” IEEE America Latina, vol. 14, no. 2, pp. 549-558, 2016.

[7] Ljung. L, “System Identification Theory for the user: Prentice Hall, 1999.

[8] Whiten. W, “The Simulation of crushing plants with models developed using multple spline regression,” Journal of South African Institute of Mining and Metallurgy, pp. 257-264, 1972.

[9] Hatch. C, “Simulation of the brenda mine,” Mining Engineering secondary crushing, pp. 1354-1362, 1982.

[10] Donovan. J, “Fracture Toughness Based MFracture Toughness Based Models For The Prediction Of Power Consumption,” Product Size, And Capacity Of Jaw Crushers, 2003.

[11] Fernández. L, “CADCS,” Revista de Automática del ICIMAF, pp. 28-33, 2009.

[12] Gupta. S, “Elements of Control Sistems,”: Prentice-Hall of New Delhi India, 2003.

[13] SolidWorks, “SolidWorks,” Disponible en: www.solidworks.com.

[14] AutoCad, "AutoCad ,” Disponible en: www.AutoCad.com.

[15] Corripio, A., and Smith. C, “Control Automático de Procesos, Teoria y Práctica,” : Noriega, 2000.

[16] Garzón, M., and Domínguez. A, “Control difuso de un motor de inducción,” Revista de Ingeniería Energética, vol. 25, no. 1, pp. 32-36, 2005.

[17] Fernández. L, "Identificación de sistemas con los CADCS,” Revista de Automática del ICIMAF, pp. 5-7, 2012.

[18] Valera. A, Soriano. A, and Vallés. M, “Plataforma de Bajo Coste para la realización de Trabajos Prácticos de Mecatrónica y Robótica,” RIAI (Revista Iberoamericana de Automática e Informática Industrial), vol. 11, no. 4, pp. 367-369, 2014.

[19] Sierra. J, “Diseño e Implementación del Control Inteligente en un motor de corriente continua,” Master’s thesis, CUJAE-Habana, 2012.

[20] Torres. M, “Control de subproceso de caudal de aire en unidad manejadora de aire de la planta DPTdel instituto FINLAY,” Revista de Cibernética Aplicada, , pp. 47-51, 2012.

[21] Vargas. G, Fernández. L, “Identificación y Control del Reflujo de Solvente en un proceso de extracción,” Revista de Automática del ICIMAF, pp. 79-83, 2012.

[22] Delgado. L, Fernández. L, and Vargas. G, “Modelación, Simulación y Control del sistema de ventilación de una planta de ingredientes farmacéuticos activos,” in Proc. of the JICIMAF, 2011, pp. 17-24.

[23] Pulído. J, “Correlación y Regresión Lineal Simple,” Disponible en: http://www.youtube.com/watch?v=E4oVu8i-pnU, 27 Febrero 2012.

[24] Shigley. J, “Teoría de Máquinas y mecanismos,” : Mc Graw Hill, pp, 374-378, 2001.

[25] Arrizabalaga. N, “Máquinas Prontuario,” Técnicas Máquinas Herramientas, pp. 322-323, 1990.

[26] Mathworks, “Mathworks", Disponible en: www.mathworks.com, 2018.

[27] Seborg. D, Edgar. T, and Duncan, “Process Dynamics and Control,” : John Wiley&Sons, Inc, 2004.

[28] Gobierno de Chile, “Manual General de la Minería y la Metalurgía,” : Gobierno de Chile, pp. 399-406. 2007.

[29] Fuerstenau. M, “Principles of Mineral Processing,” : Society for Mining. metallurgy, 2005

[30] Sutulov. A, “Flotación de Minerales,” Master’s thesis, Universidad de la Concepción de Chile, 1980.

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