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Forecasting in technical facility control systems

Korostil Jerzy, Afanasyeva Olesya, Korostil Olga

Journal of Engineering, Energy and Informatics

2022

No. 1

63--75

The paper presents a methodology for designing forecasting systems for control systems for technical facilities. The topicality of the selected topic is justified by the specific requirements for forecasting systems, intended for use in control systems of technical facilities. The methodology proposes to design a forecasting system appropriate to the described stages with the use of a number of parameters characterising the forecasting process. The work analyses the peculiarities of the forecasting method, which are determined by a series of characteristics. An example of such a characteristic is the commensurability of the interacting parameters in the process of interaction of the parameters characterising the process of negative influence on the control process and the parameters counteracting this influence. An example of a parameter characterised by an increase in the accuracy of forecasting is the parameter of increasing the determinism measure, which is secured by separate, additional components in the forecasting system. An example of additional components may be the implementation component of the process of counteracting the negative impact, the component supporting the adoption of decisions in relation to the implementation of counteracting the negative impact of accidental events on the controlled object. The use of the developed design methodology allowed the accuracy of the forecasted data to be increased, which leads to an increase in the efficiency of using the forecasting system.

W artykule przedstawiono metodykę projektowania systemów prognozowania dla systemów sterowania obiektami technicznymi. Aktualność wybranego tematu uzasadniona jest specyficznymi wymaganiami stawianymi systemom prognozowania, przeznaczonym do stosowania w systemach sterowania obiektami technicznymi. Metodologia proponuje zaprojektowanie odpowiedniego dla opisanych etapów systemu prognozowania z wykorzystaniem szeregu parametrów charakteryzujących proces prognozowania. W pracy przeanalizowano specyfikę metody prognozowania, którą determinuje szereg cech. Przykładem takiej cechy jest współmierność parametrów oddziałujących w procesie interakcji parametrów charakteryzujących proces negatywnego wpływu na proces sterowania i parametrów przeciwdziałających temu wpływowi. Przykładem parametru charakteryzującego się wzrostem trafności prognozowania jest parametr zwiększania miary determinizmu, który jest zabezpieczony odrębnymi, dodatkowymi składowymi w systemie prognozowania. Przykładem dodatkowych komponentów może być komponent realizacyjny procesu przeciwdziałania negatywnemu wpływowi, komponent wspomagający podejmowanie decyzji w związku z realizacją przeciwdziałania negatywnemu wpływowi zdarzeń losowych na kontrolowany obiekt. Zastosowanie opracowanej metodologii projektowania pozwoliło na zwiększenie dokładności prognozowanych danych, co prowadzi do zwiększenia efektywności wykorzystania systemu prognostycznego.

Features of control processes in organizational-technical (technological) systems of continuous type

Korobiichuk Igor, Ladanyuk Anatoliy, Boiko Regina, Hrybkov Serhii

Journal of Automation Mobile Robotics and Intelligent Systems

2020

Vol. 14, No. 4

11--17

Technological complexes of various industries are characterized by certain modes of operation (technological regulations), which correspond to the set of variables of different nature, which have a high-dynamics of change and determine the main technical and economic performance of the object. The aim of the research is to identify information software approaches to support decision-making in organizational-technical (technological) systems. Research results are obtained through grouping, generalization and comparison methods. The scientific significance of the results are to determine the objective need to use intelligent decision support subsystems to quickly manage complex organizational-technical systems based on both: clear and formalized data and knowledge and high-quality fuzzy estimates.

Application of the method of the nonparametric identification of nonlinear dynamic control objects for the crushed vulcanization modification

Fursa O., Gyrenko A., Cheremysinova A., Sheikus A.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2015

Vol. 4, No 4

17--22

Solving a problem of building the automatic control system of the industrial rubber article technological process by means of modeling software is one of the essential parts of providing the technological effectiveness. The work concerns the problem of application of the method of the nonparametric identification of a nonlinear dynamic control object for the process of modification of crushed vulcanized rubber. This process is an explicit nonlinear and nonstationary system of control parameters. The application of this method allows to obtain reliable information on an object without difficult computation, and the reliability of the method is corroborated graphically and with the computation. Depending on the degree of complexity of an object this method can be deterministic or probabilistic, can describe only time development, only spatial development or time-spatial development of an object. The influence of the process type on the identification results was analyzed in the work. Therefore, the task of increasing the quickness of information selection about the object is still a topical problem for the non-parametric identification. Conclusions about a possibility of activation of the identification procedure were made. The elaborated algorithm allows to apply it for other technological processes with self-adjusting systems when the condition of quasi-stationarity is fulfilled.