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Título

Computer vision system for estimating and controlling the weight of glass gobs during their industrial formation process

AutorJiménez, Antonio R.; Laizola Loinaz, Eskarne; Morgado Rodríguez, Fernando; Calvache Sánchez, Mar; Seco Granja, Fernando
Fecha de publicación29-jul-2004
EditorSociety of Photo-Optical Instrumentation Engineers
CitaciónJournal of Electronic Imaging 13(3): 613 (2004)
ResumenWe present a computer vision system for measuring the weight of gobs during a glass-forming process, and a control strategy to automatically correct any weight deviation from a given set point. The system is based on a reliable gob area estimation using image-processing algorithms. A monochrome CCD high-resolution camera and a photodetector for synchronizing acquisition are used for registering gob images. Assuming that the gob has symmetry of revolution about the vertical axis, the proposed system estimates the weight of gobs with accuracy better than ±0.75%. A learning weight control strategy is proposed based on a proportional-integral (PI)-repetitive control scheme. The weight deviation from a set point is used as a control signal to adjust the glass flow into the feeder. This regulation scheme enables effective weight control, canceling mid- and long-term effects. The tracking error of ±1.5% means a reduction of 40% when compared with a traditional PI controller.
Descripción6 pages, 5 figures.
Versión del editorhttp://dx.doi.org/10.1117/1.1762888
URIhttp://hdl.handle.net/10261/21015
DOI10.1117/1.1762888
ISSN1017-9909
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