Neurofuzzy model based control of weld fusion zone geometry

Y. M. Zhang, L. Li, R. Kovacevic

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


A close-loop system is developed to control the weld fusion which is specified by the top-side and back-side bead widths of the weld pool. The welding current and speed are selected as the control variables. It is found that a non-linearity exists in the process being controlled. A neurofuzzy model is used to model this non-linear dynamic process. Based on the dynamic fuzzy model, a predictive control system has been developed to control the welding process. Experiments confirmed that the developed control system is effective in achieving the desired fusion state despite the different disturbances.

Original languageEnglish
Pages (from-to)2483-2487
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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