Neural network based self-organized fuzzy logic control in arc welding process

Author

Di, Li ; Katsunori, I.

Author_Institution

Guangdong Univ. of Technol., China

Volume

2

fYear

1997

fDate

27-23 May 1997

Firstpage

684

Abstract

A neural network based fuzzy logic control algorithm is set up for welding process control. This control strategy embeds a feedforward neural network into a fuzzy logic controller with the advantages of learning ability of the neural network as well as the explanatory ability of the fuzzy logic system. It can regulate the parameters of a membership function using sample data and generate fuzzy logic rules automatically without consulting the experts. Computer simulation shows that it is feasible for weld geometry regulation

Keywords

arc welding; digital simulation; explanation; fuzzy control; learning systems; neural nets; process control; self-adjusting systems; arc welding process control; automatic fuzzy logic rule generation; computer simulation; explanatory ability; feedforward neural network; fuzzy logic controller; learning ability; membership function parameter regulation; neural network based fuzzy logic control algorithm; neural network based self-organized fuzzy logic control; sample data; weld geometry regulation; Automatic control; Control systems; Error correction; Feedforward neural networks; Fuzzy logic; Humans; Intelligent networks; Neural networks; Process control; Welding;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3755-7

Type

conf

DOI

10.1109/KES.1997.619453

Filename

619453