Author, Institution: Giedrius Oberauskas, Kaunas University of Technology
Science area, field of science: Technological Sciences, Informatics Engineering, T007
Scientific Advisor: Prof. dr. Vytautas Galvanauskas (Kaunas University of Technology, Technological Sciences, Informatics Engineering, T007).
Dissertation Defence Board of Informatics Engineering Science Field:
Prof. Dr. Linas Svilainis (Kaunas University of Technology, Technological Sciences, Electrical and Elecronic Engineering, T001) – chairman
Prof. Dr. Tomas Krilavičius (Vytautas Magnus University, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Darius Plonis (Vilnius Gediminas Technical University, Technological Sciences, Electrical and Elecronic Engineering, T001)
Dr. Dawid Połap (Silesian University of Technology, Poland, Technological Sciences, Informatics Engineering, T007)
Prof. Dr. Habil. Julius Žilinskas (Vilnius University, Technological Sciences, Informatics Engineering, T007)
The doctoral dissertation is available at the libraries of Kaunas University of Technology (K. Donelaičio g. 20, Kaunas) and Vilnius Gediminas Technical University (Saulėtekio al.14, Vilnius).
Annotation:
Peculiarities of ammonia production technology chemical process modeling and hybrid mathematical model parameters identification were analyzed. Analyze automatic control systems of chemical process. Mechanistic models of the ammonia production process were developed using process mass balance equations, while combining mechanistic models of absolute reaction rates. Using artificial neural networks, models of chemical processes for the production of ammonia (absolute reaction rates) have been developed. The developed hybrid models for modeling the main ammonia production processes were investigated. Using hybrid models, an adaptive control algorithm was developed in order to regulate the technological parameter of ammonia production – H / N ratio – in synthesis gas with the given accuracy. The developed adaptive H / N ratio regulation system was investigated by simulation modeling. The developed adaptive H / N ratio control system was investigated statistically, determining its significant differences in comparison with the classical control system with constant controller parameters.
