Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)

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Parameter Tuning of ADRC Controller for Electrode Wire Feed System Using a Fuzzy Algorithm

Authors
M. Haddad1, *, B. Babes1, N. Hamouda1, B. Lekouaghet1, H. Amar1
1Research Center in Industrial Technologies CRTI, P.O. Box 64, Cheraga, 16014, Algiers, Algeria
*Corresponding author. Email: m.haddad@crti.dz
Corresponding Author
M. Haddad
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-496-9_13How to use a DOI?
Keywords
Electrode wire feed mechanism (EWFM); Fuzzy algorithm; welding; Active disturbance rejection control (ADRC); Extended state observer (ESO)
Abstract

This study introduces a method for enhancing the performance of electrode wire feeding mechanisms (EWFMs) in power-controlled arc welding machines. The method uses a fuzzy algorithm to implement an active disturbance rejection controller (ADRC) with self-tuning parameters. A testing system, operating in real-time and built on the dSPACE platform, is set up to verify the proposed method. Initially, the study develops an active disturbance rejection control approach to improve tracking performance and robustness in the presence of multiple disturbances in welding EWFM operations. Subsequently, a fuzzy algorithm-based method is employed to tune the parameters of the ADRC controller, ensuring accurate adjustment of gains. Finally, real-time tests are conducted to validate the effectiveness of the proposed strategy. The results indicate that the ADRC controller with Fuzzy algorithm-based gains tuning exhibits notable capabilities in rejecting disturbances, minimizing overshoot, achieving rapid response, and ensuring high precision.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)
Series
Advances in Intelligent Systems Research
Publication Date
31 August 2024
ISBN
978-94-6463-496-9
ISSN
1951-6851
DOI
10.2991/978-94-6463-496-9_13How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Haddad
AU  - B. Babes
AU  - N. Hamouda
AU  - B. Lekouaghet
AU  - H. Amar
PY  - 2024
DA  - 2024/08/31
TI  - Parameter Tuning of ADRC Controller for Electrode Wire Feed System Using a Fuzzy Algorithm
BT  - Proceedings of the International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024)
PB  - Atlantis Press
SP  - 156
EP  - 170
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-496-9_13
DO  - 10.2991/978-94-6463-496-9_13
ID  - Haddad2024
ER  -