Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks

	Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks
	Huang, Jiankang 2; Zhang, Gang 1; Fan, Ding 2; Shi, Yu 1
刊名	Hanjie Xuebao/Transactions of the China Welding Institution
	2013-09-01
卷号	34 期号:9 页码:43-47
关键词	Aluminum alloys Controllers Fuzzy inference Fuzzy logic Fuzzy neural networks Gas metal arc welding Inert gas welding Learning algorithms MIMO systems Real time control Decoupling control methods Decoupling controllers Decoupling controls Dynamic decoupling control Interference pulse Multiple input multiple output process Pulse MIG welding System simulations
ISSN号	0253360X
英文摘要	Considering the strong coupling of parameters, unstable and other key issues during aluminum alloy pulse MIG welding process, D-FNN structure and learning algorithm were introduced. The decoupling controllers were designed based on D-FNN. The dynamic decoupling control simulation of aluminum alloy pulse MIG welding multiple-input multiple-output (MIMO) process, setting the duty cycle of pulse current and wire feeding speed as inputs but wire extension and weld width as outputs, was investigated with synchronization, asynchronous and adding interference pulse. The simulation results indicate that D-FNN controller could real-time evolve rules, dynamically adjust the learning factors, completely decouple the MIMO process and meet the real-time control requirements of welding process. In addition, its fast response speed and good robustness provided a new real-time decoupling control method for stabilizing the aluminum alloy pulsed MIG welding process.
语种	中文
出版者	Harbin Research Institute of Welding
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112875]
专题	材料科学与工程学院省部共建有色金属先进加工与再利用国家重点实验室
作者单位	1.Key Laboratory of Non-Ferrous Metal Alloys, The Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China 2.State Key Laboratory of Gansu Advanced Non-Ferrous Metal Materials, Lanzhou University of Technology, Lanzhou 730050, China;
推荐引用方式 GB/T 7714	Huang, Jiankang,Zhang, Gang,Fan, Ding,et al. Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks[J]. Hanjie Xuebao/Transactions of the China Welding Institution,2013,34(9):43-47.
APA	Huang, Jiankang,Zhang, Gang,Fan, Ding,&Shi, Yu.(2013).Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks.Hanjie Xuebao/Transactions of the China Welding Institution,34(9),43-47.
MLA	Huang, Jiankang,et al."Decoupling control analysis of aluminum alloy pulse MIG welding process based on dynamic fuzzy neural networks".Hanjie Xuebao/Transactions of the China Welding Institution 34.9(2013):43-47.