Abstract
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 language | English |
|---|---|
| Pages (from-to) | 2483-2487 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 4 |
| DOIs | |
| State | Published - 1997 |
| Event | Proceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA Duration: Jun 4 1997 → Jun 6 1997 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering