| Issue |
E3S Web Conf.
Volume 638, 2025
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 12 | |
| Section | Energy Efficiency and Applied Thermodynamics | |
| DOI | https://doi.org/10.1051/e3sconf/202563801014 | |
| Published online | 16 July 2025 | |
Development of a hybrid adaptive control system for pyrolysis plants: A comparative study of conventional and intelligent approaches
1 Mukhamedzhan Tynyshpayev ALT University, 050013 Almaty, Kazakhstan
2 Almaty University of Power Engineering and Telecommunications, 050013 Almaty, Kazakhstan
* Corresponding author: a.rysbek@alt.edu.kz
This study presents a comparative evaluation of control systems for automating the pyrolysis process, including PLC, SCADA, Fuzzy Logic, Artificial Neural Networks (ANN), and a hybrid approach. The analysis focuses on key performance indicators such as reliability, adaptability, integration complexity, and predictive capability. Due to the nonlinear and dynamic nature of pyrolysis, selecting an appropriate control architecture is essential for improving efficiency, product quality, and environmental safety. The findings support the implementation of a hybrid control system that integrates the strengths of conventional and intelligent methods, aligning with Industry 4.0 requirements and providing a foundation for digital transformation in industrial waste recycling.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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