par Lepore, Renato;Vande Wouwer, A.;Remy, Marcel;Bogaerts, Philippe 
Référence Lecture notes in control and information sciences, 358, 1, page (485-493)
Publication Publié, 2007
Référence Lecture notes in control and information sciences, 358, 1, page (485-493)
Publication Publié, 2007
Article révisé par les pairs
| Résumé : | This paper focuses on the design of a nonlinear model predictive control (NMPC) scheme for a cement grinding circuit, i.e., a ball mill in closed loop with an air classifier. The multivariable controller uses two mass fractions as controlled variables, and the input flow rate and the classifier selectivity as manipulated variables. As the particle size distribution inside the mill is not directly measurable, a receding-horizon observer is designed, using measurements at the mill exit only. The performance of the control scheme in the face of measurement errors and plant-model mismatches is investigated in simulation. © 2007 Springer-Verlag Berlin Heidelberg. |
