Abstract:
An artificial neural network (ANN) and a self-adjusting fuzzy
logic controller (FLC) for modeling and control of gas tungsten
arc welding(GTAW) process are presented. The discussion is
mainly focused on the modeling and control of the weld pool
depth with ANN and the intelligent control for weld seam
tracking with FLC. The proposed neural network can produce
highly complex nonlinear multi-variable model of the GTAW
process that offers the accurate prediction of welding
penetration depth. A self-adjusting fuzzy controller used for
seam tracking adjusts the control parameters on-line
automatically according to the tracking errors so that the torch
position can be controlled accurately.
Key words:
Artificial neural network Fuzzy logic control Weld pool
depth Seam tracking
*
This Project is supported by National Natural Science
Foundation of China and Provincial Natural Science Foundation of
Guangdong, China. Received February 12, 2001; received in revised form
July 20, 2001; accepted September 6, 2001
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