DocumentCode
2063294
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
fYear
2001
fDate
2001
Firstpage
600
Lastpage
605
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CCA.2001.973933
Filename
973933
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