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

Volume

2

fYear

2009

fDate

19-21 May 2009

Firstpage

253

Lastpage

257

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.421

Filename

5209441