A novel phenomenological based model of an upstream hydro-classifier for control purposes

Diego A. Muñoz, Rene Serna, Andres F. Obando, Hernan Alvarez

Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Hydro-classification is one of the most important operation to separate particles according with their size and specific gravity. This operation involves many phenomena and its modeling is still not clear. Complex models demand high computational resources and are used to design the dimension of devices or predict the classification but off-line. However, for control proposes, it is necessary to get a suitable model with acceptable prediction level to be implemented online. This work presents a phenomenological based semi-physical model (PBSM) that describes the phenomena of the hydro-classification and forecasts its performance according to the operative conditions, summarizing all phenomena in the main physical properties of production.

Idioma originalInglés
Páginas (desde-hasta)323-328
Número de páginas6
PublicaciónIFAC-PapersOnLine
Volumen52
N.º1
DOI
EstadoPublicada - 2019
Publicado de forma externa
Evento12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brasil
Duración: 23 abr. 201926 abr. 2019

Nota bibliográfica

Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

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