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Stabilization of bed Inclination angle in rotary drums by using computer vision
CLAUDIA PATRICIA FLORES GUTIERREZ
ANTONIO REYES OBANDO
OCTAVIO ISRAEL RENTERIA VIDALES
Alejandro Ricardo Femat Flores
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1021/acs.iecr.8b01658
Rotating drum
Granular material
Rolling bed
Kilns
Flow
Motion
Particles
Behavior
Solids
Transition
"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."
American Chemical Society
2018
Artículo
Ind. Eng. Chem. Res.201857227717-7725 Publication Date:May 24, 2018
INGENIERÍA Y TECNOLOGÍA
Versión revisada
submittedVersion - Versión revisada
Aparece en las colecciones: Publicaciones Científicas Control y Sistemas Dinámicos

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