An RBF neural network–based parameter tuning for an ADRC regulator of electrode wire feed mechanism: arc welding applications

The electrode wire feeding mechanism (EWFM) is a closed-loop system that is commonly utilized in power-controlled arc welding machines to achieve better performance for different electrode wire diameters. This study presents parameters self-tuning method based on RBF neural network for active distur...

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Bibliographic Details
Published in:Welding in the world 2024-04, Vol.68 (4), p.987-999
Main Authors: Babes, Badreddine, Boutaghane, Amar, Reddaf, Abdelmalek, Boudjerda, Mounir, Amar, Hichem, Hamouda, Noureddine, Ghoneim, Sherif S. M.
Format: Article
Language:English
Subjects:
Algorithms
Arc welding machines
Chemistry and Materials Science
Closed loops
Electrodes
Feedback control
Materials Science
Metallic Materials
Neural networks
Parameters
Real time
Rejection
Research Paper
Self tuning
Solid Mechanics
Theoretical and Applied Mechanics
Welding machines
Wire
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Summary:The electrode wire feeding mechanism (EWFM) is a closed-loop system that is commonly utilized in power-controlled arc welding machines to achieve better performance for different electrode wire diameters. This study presents parameters self-tuning method based on RBF neural network for active disturbance rejection controller (ADRC) of a welding EWFM and establishes a real-time testing system based on the dSPACE platform. First, an ADRC control strategy is developed to enhance the tracking performance and robustness of a welding EWFM in a multi-source disturbance environment. Second, an RBF-based parameters tuning method is provided to correctly determine and adjust the gains of the suggested ADRC regulator. Finally, to confirm the considered strategy, the real-time tests are conducted. The findings demonstrate that the suggested ADRC regulator with RBF-based gains tuning algorithm has a considerable disturbance rejection capability, small overshoot, fast response, and high precision which can improve the stability and quality of the arc welding process.
ISSN:0043-2288
1878-6669
DOI:10.1007/s40194-024-01742-4