Embedded Fuzzy Systems in Welding Power Sources
| Authors: | Golob Marjan, University of Maribor, Slovenia
Koves Arpad, Welding Institute, Slovenia
Tovornik Boris, University of Maribor, Slovenia |
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| Topic: | 3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.) |
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| Session: | Soft Computing for Control |
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| Keywords: | fuzzy system, decision support system, quality control, embedded systems, intelligent machines |
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Abstract
Abstract: The paper discuss the possibilities of application of the fuzzy logic based embedded systems in welding power sources. The main characteristics of gas metal arc welding process are presented and the fuzzy reasoning based hierarchical decision support system for setting indirect welding parameters are described. Furthermore, the fuzzy logic based system for analysis of weld quality, particularly assessment of the weld surface condition by means of measurable electric signals acquired during welding are introduced. A simple fuzzy inference system was realized which could relatively efficiently assess the weld quality on the basis of time variations of the welding voltage, current and short-circuit time in a certain time window.
