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Chen Shanben, Wu Lin, Wang Qilong, 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, (3): 159-165.
Citation: Chen Shanben, Wu Lin, Wang Qilong, 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, (3): 159-165.
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A Fuzzy Inference-neural Network Control of Dynamic Process of Weld Bead Width in Pulse TIG Welding

  • Harbin Institute of Technology

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  • Received Date: June 30, 1994
  • Revised Date: May 29, 1997
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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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