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dc.contributor.authorMinchala Avila, Luis Ismael
dc.contributor.authorZhang, Youmin
dc.contributor.authorGarza Castañón, Luis Eduardo
dc.date.accessioned2019-08-02T14:42:47Z-
dc.date.available2019-08-02T14:42:47Z-
dc.date.issued2018
dc.identifier.issn02780046
dc.identifier.urihttps://ieeexplore.ieee.org/document/8066385
dc.descriptionThis paper presents the development of a nonlinear model predictive controller (NMPC) applied to a closed grinding circuit system in the cement industry. A Markov chain model is used to characterize the cement grinding circuit by modeling the ball mill and the centrifugal dust separator. The probability matrices of the Markovian model are obtained through a combination of comminution principles and experimental data obtained from the particle size distribution of cement samples at specific stages of the system. The NMPC is designed as a supervisory controller to manage distributed controllers installed in the process. Both the model and the controller are validated online through the implementation of the proposed approach in the supervisory control and data acquisition (SCADA) system of an industrial plant. The results show a significant improvement in the performance of the grinding circuit in comparison to the operation of the system without the proposed controller.
dc.description.abstractThis paper presents the development of a nonlinear model predictive controller (NMPC) applied to a closed grinding circuit system in the cement industry. A Markov chain model is used to characterize the cement grinding circuit by modeling the ball mill and the centrifugal dust separator. The probability matrices of the Markovian model are obtained through a combination of comminution principles and experimental data obtained from the particle size distribution of cement samples at specific stages of the system. The NMPC is designed as a supervisory controller to manage distributed controllers installed in the process. Both the model and the controller are validated online through the implementation of the proposed approach in the supervisory control and data acquisition (SCADA) system of an industrial plant. The results show a significant improvement in the performance of the grinding circuit in comparison to the operation of the system without the proposed controller.
dc.language.isoes_ES
dc.sourceIEEE Transactions on Industrial Electronics
dc.subjectIntegrated circuit modeling
dc.subjectParticle separators
dc.subjectHidden markov models
dc.subjectFeeds
dc.subjectMarkov processes
dc.subjectProcess control
dc.subjectScada systems
dc.titlePredictive control of a closed grinding circuit system in cement industry
dc.typeARTÍCULO
dc.ucuenca.idautor0301453486
dc.ucuenca.idautorSgrp-146-2
dc.ucuenca.idautorSgrp-146-3
dc.identifier.doi10.1109/TIE.2017.2762635
dc.ucuenca.embargoend2050-12-30
dc.ucuenca.versionVersión publicada
dc.ucuenca.embargointerno2050-12-30
dc.ucuenca.areaconocimientounescoamplio07 - Ingeniería, Industria y Construcción
dc.ucuenca.afiliacionMinchala, L., Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador; Minchala, L., Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Mexico
dc.ucuenca.afiliacionZhang, Y., Concordia University (Montreal), Montreal, Canada
dc.ucuenca.afiliacionGarza, L., Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Mexico
dc.ucuenca.correspondenciaZhang, Youmin, youmin.zhang@concordia.ca
dc.ucuenca.volumenvolumen 65, número 5
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.factorimpacto2.4
dc.ucuenca.cuartilQ1
dc.ucuenca.numerocitaciones0
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología
dc.ucuenca.areaconocimientofrascatiespecifico2.2 Ingenierias Eléctrica, Electrónica e Información
dc.ucuenca.areaconocimientofrascatidetallado2.2.2 Robótica y Control Automático
dc.ucuenca.areaconocimientounescoespecifico071 - Ingeniería y Profesiones Afines
dc.ucuenca.areaconocimientounescodetallado0714 - Electrónica y Automatización
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=41
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