DocumentCode :
603451
Title :
Multi-tank fuzzy level controller system using system
Author :
Robinson Jimenez, M. ; Caceres, Cesar ; Aviles, O. ; Grodillo, C.
Author_Institution :
GAV-Univ. Mil. Nueva granada, Bogota, Colombia
fYear :
2012
fDate :
19-23 Nov. 2012
Firstpage :
320
Lastpage :
324
Abstract :
This paper presents the development of a level control system using 3D machine vision techniques based on a single level-detector sensor (Kinect), in an arrangement of three tanks. Using image processing algorithms, each one of the tanks is classified within the video sequence as well as each one of the depth measurements is averaged regarding the cross sectional area of the surface of the tanks. This information is used to control the filling level for each tank using a proportional fuzzy controller and a proportional-derivative fuzzy controller. Finally the performance of each controller is compared.
Keywords :
PD control; computer vision; control engineering computing; fuzzy control; image classification; image sensors; image sequences; spatial variables measurement; tanks (containers); video signal processing; 3D machine vision technique; Kinect; depth measurement; image classification; image processing algorithm; level control system; multitank fuzzy level controller system; proportional fuzzy controller; proportional-derivative fuzzy controller; single level-detector sensor; tank surface; video sequence; 3D vision; Fuzzy control; Kinect; image processing; level control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2012 IEEE Ninth
Conference_Location :
Cuernavaca
Print_ISBN :
978-1-4673-5096-9
Type :
conf
DOI :
10.1109/CERMA.2012.77
Filename :
6524599
Link To Document :
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