| 脉冲TIG焊熔宽动态过程模糊推理——神经网络控制方法 |
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| 引用本文： | 陈善本,吴林,王其隆,刘玉池.脉冲TIG焊熔宽动态过程模糊推理——神经网络控制方法[J].焊接学报,1997,18(3):159-165. |
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| 作者姓名： | 陈善本 吴林 王其隆 刘玉池 |
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| 作者单位： | 哈尔滨工业大学 |
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| 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过程建模的控制仿真，从而回避了经典方法对过程建模控制和困难。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。
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| 关 键 词： | 模糊神经网络 TIG焊 过程控制 热源 焊丝 |
| 收稿时间： | 1994/7/1 0:00:00 |
| 修稿时间： | 1997/5/30 0:00:00 |
A Fuzzy Inference-neural Network Control of Dynamic Process of Weld Bead Width in Pulse TIG Welding |
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| Chen Shanben,Wu Lin,Wang Qilong and Liu Yuchi.A Fuzzy Inference-neural Network Control of Dynamic Process of Weld Bead Width in Pulse TIG Welding[J].Transactions of The China Welding Institution,1997,18(3):159-165. |
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| Authors: | Chen Shanben Wu Lin Wang Qilong and Liu Yuchi |
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| Affiliation: | Harbin Institute of Technology |
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| Abstract: | 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. |
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| Keywords: | fuzzy inference neural networks control bead width pulse TIG welding |
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