A SELF-ORGANIZING FUZZY CONTROL APPROACH TO ARC SENSOR FOR WELD JOINT TRACKING IN GAS METAL ARC-WELDING OF BUTT JOINTS

Cited 16 time in webofscience Cited 0 time in scopus
  • Hit : 247
  • Download : 0
For the artificial intelligence (Al) approach to automatic control, the fuzzy rule-based control schemes have been successfully applied to the control of complex processes. The arc welding process is one of the processes due to the fact that it possesses complex and nonlinear characteristics such as a moving distributed heat source, a current path and metal transfer. One possible solution to the design of an effective controller suitable for such a process is to use the fuzzy control scheme. The fuzzy rule-based control can easily realize the heuristic rules obtained from human experiences that cannot be expressed in mathematical form. In this study, an arc sensor, which utilizes the electrical signal obtained from the welding arc itself, was developed for CO2 gas metal arc welding of butt joints using the fuzzy set theory. A simple fuzzy controller without any adaptation was implemented for the weld joint tracking. A set of fixed rules, which was designed based upon the experiments, and a self-organizing fuzzy controller, which could improve the control rules automatically, were examined. Through a series of experiments, the performance and learning action of the proposed self-organizing fuzzy controller were assessed.
Publisher
AMER WELDING SOC
Issue Date
1993-02
Language
English
Article Type
Article
Citation

WELDING JOURNAL, v.72, no.2, pp.60 - 66

ISSN
0043-2296
URI
http://hdl.handle.net/10203/56570
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 16 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0