DocumentCode :
335205
Title :
Model-based adaptive vision control of weld pool area
Author :
Kovacevic, Radovan ; Zhang, Yu M.
Author_Institution :
Center for Robotics & Manuf. Syst., Kentucky Univ., Lexington, KY, USA
Volume :
1
fYear :
1994
fDate :
29 June-1 July 1994
Firstpage :
313
Abstract :
Weld pool geometry is a crucial factor in determining welding quality, especially in the case of sheet welding. Quality images that can be processed in real-time to detect the pool geometry are acquired by using a high shutter speed camera assisted with nitrogen laser as an illumination source. An adaptive system is developed to control the pool area using the vision feedback. A model is proposed based on an analysis of the timing logic of the sampling periods. Also, an online identification algorithm is developed to improve the estimation accuracy and convergence. Experiments show that the developed control system can overcome the influence of various disturbances (torch speed, heat transfer condition, initial parameters, and unexpected sensing failure) under practical welding conditions.
Keywords :
adaptive systems; computer vision; image recognition; laser beam applications; model reference adaptive control systems; quality control; real-time systems; welding; adaptive system; computer vision; heat transfer condition; high shutter speed camera; model-based adaptive vision control; nitrogen laser; online identification; quality control; timing logic; torch speed; vision feedback; weld pool area; weld pool geometry; Adaptive control; Cameras; Control systems; Geometrical optics; Laser feedback; Laser modes; Lighting; Nitrogen; Programmable control; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
Type :
conf
DOI :
10.1109/ACC.1994.751749
Filename :
751749
Link To Document :
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