Intellectual scenario-synergistic management of the technological complex of a sugar factory - Qualification research paper with manuscript rights.
Dissertation for obtaining the scientific degree of candidate of technical sciences in specialty 151 "Automation and computer-integrated technologies" - National University of Food Technologies of the Ministry of Education and Science of Ukraine, Kyiv, 2023.
The work is devoted to the issues of increasing the efficiency of the technological complex of the sugar factory by determining attractive situationally significant zones for scenario management tasks, and on the basis of operational intelligent analytical processing of data to implement effective resource-saving management strategies using intelligent mechanisms.
The technological process of sugar production as a complex object of management, the assessment of the level of automation systems of diffusion, juice cleaning and evaporation departments is analyzed. The problems of managing the material flows of the sugar factory are formulated. The prospects for the development of the technological complex of the sugar factory based on the principles and methods of the modern theory of automatic management of complex organizational and technical objects are outlined.
It was determined that technological processes of sugar production have characteristic features of complex technological systems, among which it is worth highlighting the presence of processes with different nature of physico-chemical phenomena, multifactoriality, non-stationarity, high degree of uncertainty, nonlinearity, complex nature of behavior. Such features of the object require the application of advanced methods of theory and practice, as well as their implementation on the basis of modern information technologies.
By means of system analysis, expert surveys and cognitive modeling, priority technical factors that improve product quality, increase equipment productivity and reduce the specific costs of material resources in sugar production were determined.
The analysis of time series of the main variable processes of defecosaturation was carried out. Time series obtained from a real object were filtered. Lyapunov indices were determined as a quantitative measure. These indicators are one of the most important characteristics of the attractor, they allow you to determine:
• entropy of the dynamic system;
• the fractal dimension of the attractor;
• characteristic time of system predictability;
• system behavior.
Lyapunov indices serve as a measure of the chaoticity of a dynamic system. These indicators in the studied time periods make it clear that the behavior of the system is undefined and chaotic.
Reconstruction of chaotic attractors of the system was carried out in accordance with Takens' theorem. The analysis of the complex behavior of the object with intermittency, which includes chaotic manifestations, was carried out according to the indicators of correlation dimension, Kolmogorov correlation entropy, Hurst index and fractal dimension.
The technical complex of the sugar factory is synthesized with a joint control system. Therefore, the organization of resource-saving control influences according to the given attractors ensures the display of the optimal operating mode of the object.
With the use of modern information technologies, the structure, algorithm and software of the automation system for managing the technological complex of the sugar factory were created.
Simulation modeling and production tests of the proposed technical solution showed that product quality improves, production efficiency increases by 1.9%, energy consumption decreases by 3.6%, and sugar losses decrease by 0.07%.
The developed algorithmic and software was transferred to the JSC Kashperiv sugar factory for implementation and is used in the educational process at the department of automation and intelligent control systems of the National University of Food Technologies, as evidenced by relevant certificates.
Key words: scenario-synergistic control, automated technological complex, quality, intelligent control system, defecosaturation department, control systems, sugar, identification, automation, mathematical model, technological process, wavelet transformation, mathematical modeling, model, neural networks.
