An Arc Welding Controller Based on Fuzzy Neural Network

Author

Chen, Guojin ; Yang, Hua ; Li, Yongning ; Peng, Weifeng

Author_Institution

Coll. of Mech. Eng., Hangzhou Dianzi Univ., Hangzhou, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

1022

Lastpage

1024

Abstract

Welding process is a highly nonlinear and strong coupling, time-varying system. In order to stabilize the arc welding current, a novel system based on fuzzy neural network control is presented in this paper. Fuzzy control has the features of absorbing the existing experience, while neural networks have self-organizing and self-learning features about information processing. The neural network was embedded in the fuzzy control system so that the system could self-adjust the membership functions and the fuzzy control rules. Computer simulation showed the improvement of the system characteristics.

Keywords

arc welding; fuzzy control; joining processes; learning systems; neurocontrollers; nonlinear control systems; self-adjusting systems; time-varying systems; arc welding controller; coupling system; fuzzy neural network control; information processing; nonlinear system; self-adjusting membership functions; self-learning features; self-organizing features; time varying system; welding process; Artificial neural networks; Control systems; Fuzzy control; Fuzzy neural networks; Mechanical engineering; Process control; Welding; fuzzy control; membership function; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8814-8

Electronic_ISBN

978-0-7695-4270-6

Type

conf

DOI

10.1109/ICCIS.2010.252

Filename

5709433