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

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

Formato

application/pdf

Sugerencia de citación

Ind. Eng. Chem. Res.201857227717-7725 Publication Date:May 24, 2018

Repositorio Orígen

Repositorio IPICYT

Descargas

254

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