Modeling of cement milling process based on long term industrial data

Authors:
Dimitris Tsamatsoulis
Affiliations:
Halyps Building Materials S.A., Italcementi Group, Athens, Korinth, Greece
Venue:
Proceedings of the 15th WSEAS international conference on Systems
Year:
2011

Citing 2
Cited 1

Expert system based adaptive dynamic matrix control for ball mill grinding circuit

Expert Systems with Applications: An International Journal
Dynamic behavior of closed grinding systems and effective PID parameterization

WSEAS Transactions on Systems and Control

IMAQCS: Design and implementation of an intelligent multi-agent system for monitoring and controlling quality of cement production processes

Computers in Industry

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Abstract

The present study aims to develop a dynamical model of cement milling process as well as an autoregressive model of the errors of the previous one. Modeling is based exclusively on long term industrial data sets of five cement mills. Not only the dynamics of each mill is estimated but also separate dynamical parameters are computed for each cement type processed in the same mill. Detailed information about the parameters uncertainty is provided. The described system identification can be utilized for the effective parameterization of a robust controller regulating the cement milling process as well as for the construction of efficient simulators.