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Постійне посилання колекціїhttps://dspace.nuft.edu.ua/handle/123456789/7522
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Документ Use of methods of tensor analysis in the evaporator plant operating system(2019) Korobiichuk, Igor; Sidletskyi, Victor; Ladanyuk, Anatoly; Elperin, Igor; Hrama, MykhailoThe issues of the relevance of conduction of research in the areas of analysis and synthesis of evaporator plant operating systems were disclosed; the need of taking into account the peculiarity and interconnection of mass and energy flows of the entire sugar refinery was put forward. This explains the need for new methods of integrating the operating system so that, on the one hand, the evaporator plant operating system is an integral part of the whole system of the sugar refinery management. But at the same time, it shall be flexible and shall not require significant changes in the correction of processes or updating of automation equipment. The article presents a method for using the mathematical apparatus of tensor analysis for determining the nature of the change of the signal of the discrepancy and the formation of the control signal.Документ Automation of Evaporation Plants Using Energy-Saving Technologies(2016) Ladanyuk, Anatoly; Shkolna, Olena; Kyshenko, VasilThe article deals with methods and ways of energy saving automatic control of sugar factory evaporators based on modern control theory, including a number of approaches that can provide both basic tasks of finished-product output and saving of energy and material resources. A great importance of an evaporator plant is admitted not only in a technological complex, but also in a heating complex of a sugar factory as a supplier of secondary steam for other subsystems of technological complex, such as vacuum devices and various heaters, to ensure their proper functioning.Документ Development of the Algorithm of Determining the State of Evaporation Station Using Neural Networks(2016) Ladanyuk, Anatoly; Kyshenko, Vasil; Shkolna, Olena; Sych, MarynaFor the rational use of thermal resources with the help of optimal control of evaporation station at a sugar factory, it is necessary to carry out the operation control of the states of evaporation station, which is determined based on the current assessments of technological parameters such as levels and temperature in cases of a station, juice and syrup consumption, thermophysical characteristics of vapor as well as the level of its consumption by technological plants of the factory. The algorithm of determining the state of evaporation station as a control object based on intelligent methods of clustering and classification was developed. The applied method of clustering based on the Kohonen self-organizing maps allowed defining a set of possible states of the object on the basis on information hidden in time series of technological parameters of evaporation stations. The application of the method of fuzzy classification allowed determining the state of evaporation station in the current moment based on the values of current parameters of evaporation station and the obtained set of possible states of an object. The developed algorithm of determining the state of evaporation station as a control object is expedient to use in automated control systems with the purpose of operational determining the state of control object in order to make timely decisions on optimal control of evaporation station.