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Item type:Наукова стаття, Optimization of Ethanol Production Using State-Space Modeling and Optimal Control Technology(IEEE, 2023-10-13) Маркіна, Людмила Миколаївна; Пальчевський, Богдан Олексійович; Грудецький, Роман Ярославович; Смолянкін, Олег Олексійович; Мельничук, Юлія Євгеніївна; Христинець, Наталія АнатоліївнаIn present paper we develop the automatic optimal control of the production process of dough mixture preparation, that can be used in the production of alcohol and fuel ethanol from grain raw materials. Known methods of automatic control of the dough preparation process are based on measuring a consumption of raw materials and a concentration of dough and regulating the water supply. We offer an improved method based on robust stabilization nonlinear process control that will ensure more stable operation of the system, smooth transitions of regimes and economy of used energy, improvement of a quality of the mixture dough, as well as final ethanol product. The optimal operating modes of experimental installation were investigated using state-space dynamical modelling technic and ethanol production process simulation.Item type:Наукова стаття, APPLICATION OF MULTI-AGENT PROGRAMMING FOR MODELING THE VISCOSITY STATE OF MASH IN ALCOHOL PRODUCTION(Lublin University of Technology, 2025-03) Гуменюк, Лариса Олександрівна; Маркіна, Людмила Миколаївна; Satsyk, Viktor; Гуменюк, Павло Олександрович; Lashch, AntonIn alcohol production from starch-containing raw materials, it is essential to know the dynamic viscosity of the resulting solution. The main drawback of control systems in the solution preparation process is the lack of viscosity monitoring. This prevents the use of processing modes that would ensure efficient execution of the subsequent thermoenzymatic treatment of the solution. This work is dedicated to examining the qualitative impact of the timing of enzyme addition on the change in the dynamic viscosity of the solution, aiming to improve the quality of the process control during its preparation. The study was conducted in the free multi-agent programming environment NetLogo, which is used for modeling complex systems evolving over time.