Title :
Visual-based Intelligent Control System for Robotic Gas Metal Arc Welding
Author :
Yu, Shi ; Cheng, Xue ; Ding, Fan ; Jianhong, Chen
Author_Institution :
Key Lab. of Non-ferrous Metal Alloys & Process. of Minist. of Educ., Lanzhou Univ. of Tech., Lanzhou, China
Abstract :
Sensing and control the weld pool is a crucial problem for robotic gas-metal arc welding (GMAW) process. In present research, a special vision sensing system, assisted by a narrow-band filter which could overcome the influence of the strong arc light of GMAW, was integrated with the morphological image-processing algorithm to improve the weld pool edge extracting performance. On the basis of welding pool image vision sensing and processing system, an intelligent controller based on fuzzy and expert system (ES) for robotic GMAW process is proposed. The experiments show that the real-time and precision requirements for detecting and control of weld pool width of robotic GMAW process could be satisfied by the established system.
Keywords :
arc welding; edge detection; expert systems; filtering theory; fuzzy control; fuzzy systems; image sensors; intelligent control; robot vision; robotic welding; GMAW; expert system; fuzzy system; image vision sensing system; morphological image-processing algorithm; narrow-band filter; robotic gas metal arc welding; strong arc light; visual-based intelligent control system; weld pool edge extraction; Control systems; Filters; Image edge detection; Intelligent control; Intelligent robots; Intelligent systems; Machine vision; Narrowband; Robot sensing systems; Welding;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.421
