Predictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding

dc.creatorOrchard, M.
dc.creatorFlores Moltedo, Andrés Ricardo
dc.creatorMunoz, C.
dc.creatorCipriano, Aldo
dc.date.accessioned2022-05-17T15:57:21Z
dc.date.available2022-05-17T15:57:21Z
dc.date.created2022-05-17T15:57:21Z
dc.date.issued2001
dc.identifier10.1109/CCA.2001.973933
dc.identifier780367332
dc.identifierhttps://doi.org/10.1109/CCA.2001.973933
dc.identifierhttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=973933
dc.identifierhttps://repositorio.uc.cl/handle/11534/64079
dc.description.abstractThe 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.
dc.languageen
dc.publisherIEEE
dc.relationProceedings of the IEEE International Conference on Control Applications (2001 : México D.F., México)
dc.rightsacceso restringido
dc.subjectPredictive control
dc.subjectFuzzy control
dc.subjectSolids
dc.subjectMinerals
dc.subjectMilling machines
dc.subjectOres
dc.subjectPower demand
dc.subjectSize control
dc.subjectSlurries
dc.subjectPredictive models
dc.titlePredictive control with fuzzy characterization of percentage of solids, particle size and power demand for minerals grinding
dc.typecomunicación de congreso


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