Autors: Stanchev, P. A., Hinov, N. L., Atanasov, A. D.
Title: Energy Optimization through Adaptive Control Schemes
Keywords: adaptive control, arc welding, energy optimization, Industry 4.0, intelligent algorithms

Abstract: Modern challenges in industrial production require the integration of energy-efficient solutions without compromising the quality of technological processes. This article discusses the application of adaptive control schemes for energy optimization in arc welding. Methods for dynamic regulation of welding arc parameters in real time, including current, voltage, and frequency, using intelligent control algorithms, are analyzed. Feedback models and self-tuning systems are presented, which allow minimizing energy losses, stabilizing the process, and extending the service life of the equipment. Simulation results and experimental data demonstrate that adaptive schemes significantly improve the efficiency, especially under variable production conditions. The study highlights the potential of this approach for integration within Industry 4.0 and sustainable production development.

References

  1. Il’yashchenko, D. P., Chinakhov, D. A., & Lavrova, E. V. (2024). The Effect of Energy Parameters of Power Sources on the Structure and Properties of Permanent Joints at Manual Arc Welding. Metals, 14(7), 759. https://doi.org/10.3390/met14070759
  2. Wang, J.-M., Wu, S.-T. and Chiu, H.-J. (2012), A novel energy-retaining inverter for AC arc welding machines. Int. J. Circ. Theor. Appl., 40: 107-126. https://doi.org/10.1002/cta.708
  3. Chao Dai, Cailiang Zhang, Yuanqing Chi, Yong Chen, Zhijie Zhou, Yongkang Zhang, Ronghua Zhu, "Fundamental research on fatigue-resistant and low-stress welding repair technology through arc composite laser shock forging," Journal of Manufacturing Processes, Volume 143, 2025, Pages 399-410, ISSN 1526-6125, https://doi.org/10.1016/j.jmapro.2025.04.028.
  4. Wei, Shou & Liu, Zhi & Zhu, Si & Su, Zhen & Li, Ming & Chen, Xu. (2013). The Design of Power Supply with Feed-Forward Control Method for EBW. Applied Mechanics and Materials. 395-396. 1094-1098. 10.4028/www.scientific.net/AMM.395-396.1094.
  5. Noureddine, Hamouda & Babes, Badreddine & Kahla, Sami & Hamouda, Cherif & Uwe, Rädel. (2023). An Optimized FO-PID Controller and Predictive Current Control of the APF Connected AWPS for Power Quality Improvement. PRZEGLĄD ELEKTROTECHNICZNY. 99. 102-107. 10.15199/48.2023.05.19.
  6. Kawshty, Hanan & Sayed, Khairy & Elnozahy, Ahmed. (2023). Design and Analysis of High Frequency Inverter for Induction Heating Application. 1-8. 10.1109/MEPCON58725.2023.10462405.
  7. He, Kuan & Wu, Wenhao & Li, Xue. (2010). Modeling and Analysis of Arc Weld Inverter Based on Double Closed-Loop Control. Applied Mechanics and Materials. 36. 109-114. 10.4028/www.scientific.net/AMM.36.109.
  8. Wu, Cheng-Yu & Tung, Pi-Cheng & Fuh, Chyun-Chau. (2010). Development of an automatic arc welding system using an adaptive sliding mode control. Journal of Intelligent Manufacturing. 21. 355-362. 10.1007/s10845-008-0184-3.
  9. Navarro-Crespin, Alejandro & Lopez, Victor & Casanueva, Rosario & Azcondo, F.J.. (2013). Digital Control for an Arc Welding Machine Based on Resonant Converters and Synchronous Rectification. Industrial Informatics, IEEE Transactions on. 9. 839-847. 10.1109/TII.2012.2222651.
  10. Bilgin, Turgay & Kunduraci, Musa & Metin, Ahmet & Doğru, Merve & Nayir, Erdal. (2024). Application of artificial intelligence techniques for error prevention and quality control in mig/mag welding processes: a comprehensive review. Middle East Journal of Science. 10. 10.51477/mejs.1497277.
  11. B. Gaazi, P. Daskalov, T. Georgieva, and E. Kirilova, “Labview Virtual Instrument Based on Intelligent Management and Monitoring of Microclimate in Precision Pig Farming with Wireless Sensor Network,” Journal of Communications, pp. 530–534, Jan. 2018, doi: 10.12720/jcm.13.9.530-534.
  12. 1.N. Madzharov and D. Iliev, "Converters with Energy Dosing by Inductance," 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Nis, Serbia, 2023, pp. 227-230, doi: 10.1109/ICEST58410.2023.10187369.
  13. P. I. Prodanov, D. D. Dankov and N. D. Madzharov, "Research of Reliability of Power Thyristors Using Methods MIL-HDBK-217F and FIDES," 2020 21st International Symposium on Electrical Apparatus & Technologies (SIELA), Bourgas, Bulgaria, 2020, pp. 1-4, doi: 10.1109/SIELA49118.2020.9167111.

Issue

2025 17th Electrical Engineering Faculty Conference - Energetics and Efficiency, BulEF 2025, 2026, Bulgaria, https://doi.org/10.1109/BulEF66320.2025.11298992

Copyright IEEE

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus