MODELING AND PREDICTIVE CONTROL OF CEMENT GRINDING CIRCUITS
R. Lepore, A. Vande Wouwer, M. Remy
Laboratoire dAutomatique, Faculté Polytechnique de Mons, 31 Boulevard Dolez, B-7000 Mons, Belgium Tel: +32 (0)65 374140; Fax: +32 (0)65 374136; e-mail: lepore@autom.fpms.ac.be

The purpose of this paper is to show that a distributed-parameter model of a continuous ball mill can be developed by discretizing the particle size continuum into a few size intervals only. Despite this coarse discretization of the particle size distribution, the ball mill model provides a good representation of the real process, which can be combined with a classifier model to build a complete simulator of a closed-loop grinding circuit. This simplified process representation is compared with a detailed first-principle model previously developed and validated by the authors. The main advantage of the simplified model is that it can be easily incorporated in an on-line control scheme. For illustrative purposes, a NMPC scheme is implemented to regulate the product fineness when variations in the grindability of the raw material occur as a measurable disturbance. The control objective, based on a size interval content, is compatible with traditional fineness measurements.
Keywords: distributed-parameter systems, nonlinear models, parameter estimation, process control, predictive control, industrial production systems
Session slot T-Tu-A12: Modern Approaches to Control of Mineral Processing/Area code 7b : Mining, Mineral and Metal Processing

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