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Predictive Control of a Closed Grinding Circuit System in Cement Industry


Predictive Control of a Closed Grinding Circuit System in Cement Industry

Minchala, Luis I., Zhang, Youmin and Garza-Castañón, Luis E. (2017) Predictive Control of a Closed Grinding Circuit System in Cement Industry. IEEE Transactions on Industrial Electronics . pp. 1-9. ISSN 1557-9948 (In Press)

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Zhang-IEEE-transactions-industrial-electronics-2017b.pdf - Accepted Version
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Official URL: http://ieeexplore.ieee.org/document/8066385/


This paper presents the development of a non-linear 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 (PSD) of cement samples at specific stages of the system. The NMPC is designed as a supervisory controller in order to manage distributed controllers (DCs) 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.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Article
Authors:Minchala, Luis I. and Zhang, Youmin and Garza-Castañón, Luis E.
Journal or Publication:IEEE Transactions on Industrial Electronics
Date:12 October 2017
Digital Object Identifier (DOI):10.1109/TIE.2017.2762635
Keywords:Grinding circuit, Markov chain, NMPC
ID Code:983247
Deposited On:28 Nov 2017 14:05
Last Modified:18 Jan 2018 17:56
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