DocumentCode :
1889999
Title :
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
Link To Document :
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