Title :
Predictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding
Author :
Orchard, M. ; Flores, A. ; Muñoz, C. ; Cipriano, A.
Author_Institution :
Dept. of Electr. Eng., Pontificia Univ. Catolica de Chile, Santiago, Chile
Abstract :
The application of fuzzy predictive control to solve the regulatory problem in mineral grinding plants is considered. The controlled variables are percentage of solids, particle sizes and power demand and the manipulated variables are water and fresh ore flows. The controller uses linear multivariable models and the fuzzy characterization of the controlled variables, to calculate the manipulated variables. Simulation results under typical disturbances show a better performance compared with the conventional predictive control
Keywords :
fuzzy control; grinding; linear systems; mineral processing industry; multivariable control systems; predictive control; process control; fuzzy control; linear systems; minerals grinding; multivariable control systems; predictive control; process control; Fuzzy control; Milling machines; Minerals; Ores; Power demand; Predictive control; Predictive models; Size control; Slurries; Solids;
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
DOI :
10.1109/CCA.2001.973933
