Título
Stabilization of bed Inclination angle in rotary drums by using computer vision
Autor
CLAUDIA PATRICIA FLORES GUTIERREZ
ANTONIO REYES OBANDO
OCTAVIO ISRAEL RENTERIA VIDALES
Alejandro Ricardo Femat Flores
Nivel de Acceso
Acceso Abierto
Identificador alterno
doi: https://doi.org/10.1021/acs.iecr.8b01658
Materias
Resumen o descripción
"Computer vision systems have had great importance in research of different industrial processes. Videos and photographs have been used to characterize the bed behavior in a rotary drum; in this way, the bed motion, repose angles, trajectories, and particle velocity can be determined This work shows the development of a computer vision system that measures the bed inclination angle in industrial rotary drums. The purpose of the vision system is to capture the images when the angular velocity on the drum changes. Eventually, with the data measured during the two experiments in industrial rotary drums, we have identified two input-output models representing the slumping motion. Based on the control objective, we considered two approaches: regulation and tracking PI and PII2 controllers have been designed to show that a bed inclination angle can be stabilized for rolling motion considering plants that represent slumping motion and the inclination angle as the measured variable."
Editor
American Chemical Society
Fecha de publicación
2018
Tipo de publicación
Artículo
Versión de la publicación
Versión enviada
Recurso de información
Formato
application/pdf
Sugerencia de citación
Ind. Eng. Chem. Res.201857227717-7725 Publication Date:May 24, 2018
Repositorio Orígen
Repositorio IPICYT
Descargas
254