ISJ Theoretical & Applied Science 01(141) 2025

Philadelphia, USA

Khalilov, A.J.

Neuro-fuzzy model-based mathematical modeling of an advanced control system for ammonia synthesis process.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-01-141-27

DOI: https://dx.doi.org/10.15863/TAS.2025.01.141.27

Language: English

Citation: Khalilov, A.J. (2025). Neuro-fuzzy model-based mathematical modeling of an advanced control system for ammonia synthesis process. ISJ Theoretical & Applied Science, 01 (141), 322-326. Soi: http://s-o-i.org/1.1/TAS-01-141-27 Doi: https://dx.doi.org/10.15863/TAS.2025.01.141.27

Pages: 322-326

Published: 30.01.2025

Abstract: The study focuses on the mathematical modeling of an advanced control system for ammonia synthesis using a neuro-fuzzy model. The Haber-Bosch process is analyzed by incorporating mass and heat transfer equations and chemical kinetics equations. A hybrid neuro-fuzzy control approach is proposed to handle process uncertainties and optimize performance. The study provides an analytical framework and simulations to validate the effectiveness of the proposed control model.

Key words: Ammonia synthesis, neuro-fuzzy control, mathematical modeling, process optimization, Haber-Bosch process.