15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
MODELING AND PREDICTIVE CONTROL OF CEMENT GRINDING CIRCUITS
R. Lepore, A. Vande Wouwer, M. Remy
Laboratoire d’Automatique, 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