脉冲TIG焊熔宽动态过程模糊推理——神经网络控制方法  

A Fuzzy Inference-neural Network Control of Dynamic Process of Weld Bead Width in Pulse TIG Welding

作　　者：陈善本[1] 吴林[1] 王其隆[1] 刘玉池 

机构地区：[1]哈尔滨工业大学

出　　处：《焊接学报》1997年第3期159-165,共7页Transactions of The China Welding Institution

基　　金：国家自然科学基金

摘　　要：对脉冲ＴＩＧ焊工艺中焊接电流—正面熔宽动态过程提出了一种模糊神经网络控制方法，并研究了利用人工神经网络直接对过程建模的控制仿真，从而回避了经典方法对过程建模与控制的困难。将上述方法用于实际脉冲ＴＩＧ焊过程控制，结果表明模糊神经网络控制方案有效。A fuzzy inference-artificial neural network control approach to the dynamic process of welding current-top bead width in the pulse TIG welding is presented in this paper. Using artificial neural networks for modelling the process, the design of the fuzzy control system is simulated so that the difficulties of modelling and control of the pulse TIG welding in classic control methods are avoided. The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.

关 键 词：模糊神经网络 TIG焊 过程控制 热源 焊丝 

分 类 号：TG409[金属学及工艺—焊接] TG444