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Постійне посилання колекціїhttps://dspace.nuft.edu.ua/handle/123456789/7522

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20192

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Автор: search.filters.author.Elperin, IgorКлючове слово: search.filters.subject.evaporator plant

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  • Ескіз
    Документ
    Use of methods of tensor analysis in the evaporator plant operating system
    (2019) Korobiichuk, Igor; Sidletskyi, Victor; Ladanyuk, Anatoly; Elperin, Igor; Hrama, Mykhailo
    The 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.
  • Ескіз
    Документ
    Comparison between PID and fuzzy regulator for control evaporator plants
    (2019) Hrama, Mykhailo; Sidletskyi, Victor; Elperin, Igor
    In this paper, a comparison is made between FID and fuzzy controller. The purpose of the study is to determine when the use of which type of regulation will achieve the best indicators of quality control for the regulation of the evaporator. The regulation of such responsible parameters as levels of concentrated juice in the evaporator's buildings, which directly affect the quality and cost of manufactured products, is carried out. First, a mathematical model was developed in the space of states in the Matlab environment and results were obtained with respect to the variation of the problem relative to the initial conditions and with respect to perturbation. Secondly, a mathematical model with a PIDregulator was developed and transient processes for control circuits in all control channels were obtained. Thirdly, a mathematical model with a fuzzy controller was developed and transient processes for control circuits in all control channels were obtained. When comparing the mathematical model with PID and the fuzzy controller, it was concluded that the use of neuro-fuzzy regulation is more appropriate as it leads to an increase in the qualitative parameters of the process compared with the system with PID regulators.