The Priority Group Control Strategy of Welding Power Sources Based on Adaptive Neuro-Fuzzy Inference System

Author

Zhang, Xian ; Zhang, Jiabo ; Zhao, Zhangfeng ; Tao, Guoxing ; Zhong, Jiang

Author_Institution

Key Lab. of Special Purpose Equip. & Adv. Process. Technol., Zhejiang Univ. of Technol., Hangzhou, China

fYear

2010

fDate

25-26 Dec. 2010

Firstpage

1

Lastpage

5

Abstract

The manufacture process of Modern Membrane Water wall requires more than 20 sets of welding power source at the same time .When the factory power supply fluctuates, the Welding power sources will adjust simultaneously. Meanwhile, because of the impact of the Welding power sources´ impact-load, the factory power supply will have greater fluctuation. In this paper, a concept about the priority control will be introduced, and the priority group control based on adaptive neuro-fuzzy inference system (ANFIS) will be designed. This paper also establishes the simulation model about the entire welding system by using Matlab. The results show that the strategy of priority group control can Strengthen the welding powers´ adjusting ability; shorten the adjustment time ; and improve the dynamic performance.

Keywords

adaptive control; fuzzy control; neurocontrollers; power system control; welding; ANFIS; adaptive neuro-fuzzy inference system; factory power supply; modern membrane water wall; priority group control strategy; welding power sources; Computational modeling; Control systems; Mathematical model; Neurons; Power supplies; Training; Welding;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on

Conference_Location

Wuhan

ISSN

2156-7379

Print_ISBN

978-1-4244-7939-9

Electronic_ISBN

2156-7379

Type

conf

DOI

10.1109/ICIECS.2010.5677867

Filename

5677867