THE AUTOMATED CONTROL SYSTEM OPERATING ANALYSIS AND MODELING FOR AERATED CONCRETE PRODUCTION
Науковий журнал «Радіоелектроніка, інформатика, управління»
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THE AUTOMATED CONTROL SYSTEM OPERATING ANALYSIS AND MODELING FOR AERATED CONCRETE PRODUCTION |
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Кaminska, Zh. К.; Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine. Kulynych, E. М.; Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine. Serdiuk, S. N.; Zaporizhzhia National Technical University, Zaporizhzhia, Ukraine. |
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mathematical model; imitation model; operator; aerated concrete; human-machine interface; dosing; mixing; transact. |
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Context. The problem of increasing the efficiency and quality of functioning of the Automated Control System (ACS) for aerated<br />concrete production is considered. The relevance of the problem is determined by the need to take into account the human factor<br />in the development of systems of this type. Methods and means of control processes automation with the help of complex technological<br />processes (TP) are the research object. The subject of the research is models, methods and means of increasing the efficiency<br />and quality of control process automation of technological complexes in aerated concrete production.<br />Objective. The complex mathematical model is to be developed to bring automated control of technological processes for aerated<br />concrete production to the advanced level of its efficiency and quality. The complex mathematical model formalizes humanoperator<br />activity and technological process on the physical level including characteristics of actuators and their control modes. Practically<br />the complex mathematical model is implemented as a certain imitation model (IM), which represents control process for dosing<br />the components for aerated concrete mixtures at JSC “Motor Sich” (Zaporizhzhia, Ukraine).<br />Method. The solution of the considered problem in the form of the IM operating process of the ACS for aerated concrete preparation<br />is proposed. It is based on a complex mathematical model of dosing and mixing aerated concrete components and the interactive<br />work of the operator with the human-machine interface (HMI) of the ACS when solving the TP control tasks. In the IM, the<br />human-machine system “operator-ACS” is presented in the form of a queuing system. To formalize the operator’s activity algorithm,<br />the generalized structural method offered by A.I. Gubinsky is used. The peculiarity of this IM is that it can be used to evaluate and<br />debug the ACS and HMI algorithms.<br />Results. The software and IM of the technological process for aerated concrete production at JSC "Motor Sich" was developed.<br />That implements the proposed complex model based on a transact technique of organizing quasi-parallelism in IM.<br />Conclusions. The research proposes a combined (analytical-imitation) model of the automated control process for the aerated<br />concrete preparation technology. Unlike other well-known control models which include dosing and mixing processes, this one suggests<br />the approach that allows formalizing the activity of the ACS operator, quantifying the indicators of his information load and<br />taking into account the influence of the dynamical changing of the components set weight in the dispenser hoppers and the components<br />flow velocity from the consumable containers in the dosing process. The conducted experiments proved the operability of the<br />software proposed; such software may be recommended for practical use in solving the problems of justifying the structure optimal<br />choice, control methods, HMI variants, clarifying the ACS parameters for the specified technological processes, and also for development<br />of intelligent simulators to be used for operator training. |
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Zaporizhzhya National Technical University 2019-01-18 11:02:38 |
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application/pdf http://ric.zntu.edu.ua/article/view/154644 |
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Radio Electronics, Computer Science, Control; No 4 (2018): Radio Electronics, Computer Science, Control |
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ru |
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Copyright (c) 2019 Zh. К. Кaminska, E. М. Kulynych, S. N. Serdiuk |
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