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MODELLING OF DYNAMIC MODES IN A DC MOTOR FOR ELECTRIC VEHICLE
(Polytechnika Lubelska, 2026) Lyshuk, Viktor; Tkachuk, Anatolii; Moroz, Serhiy; Yevsiuk, Mykola; Khvyshchun, Mykola; Prystupa, Stanislav; Zablotskyi, Valentyn
The paper investigates mathematical models of a DC electric motor with independent excitation for electric vehicles and PWM as a speed control method. Differential equations of electromechanical state are written in normal Cauchy form. This representation simplifies the computational process, since integration is carried out by the explicit numerical method of Runge-Kutta of the fourth order, which is simpler than implicit and more accurate than single-step explicit methods. The symbolic programming language Force 2.0, which is a variant of the Fortran language, is used for modelling. Compared to mathematical packages of simulation modelling, it is convenient in terms of low time costs for compiling the program itself, since the program includes model equations together with initial conditions, a numerical method, and an integration procedure. The developed models take into account electromagnetic couplings of the motor's electrical circuits and make it possible to simulate dynamic operating modes. Such models can be used to analyse the operation of motors both autonomously and as an element of an electromechanical system, including valve converters. The operation and transient modes of a DC motor are simulated, the simulation results are given, and their analysis is presented. The results confirmed the correctness of the chosen approach to modelling and numerical methods, as well as compliance with the classical theory of electric machines.
MONITORING OF LINK-LEVEL CONGESTION IN TELECOMMUNICATION SYSTEMS USING INFORMATION CRITERIA
(2022-12-30) Yakymchuk, Natalia; Selepyna, Yosyp; Yevsiuk, Mykola; Prystupa, Stanislav; Moroz, Serhii
The successful functioning of telecommunication networks largely depends on the effectiveness of algorithms for detection andprotection against overloads. The article describes the main differences that arise when forecasting, monitoring and managing congestion at the node levelandat the channel level. An algorithm for detecting congestion by estimating the entropy of time distributions of traffic parameters is proposed.The entropy measures of data sets for various types of model distribution, in particular for the Pareto distribution, which optimally describes the behaviorof self-similar random processes, were calculated and analyzed. The advantages of this approach include scalability, sensitivity to changes in distributionsof traffic characteristics and ease of implementation and accessible interpretation.
Application Design for Remote Control of Refrigeration Equipment in an IIoT Environment
(2026) Komenda, Taras; Komenda, Nataliia; Yevsiuk, Mykola; Tkachuk, Anatolii; Yakymchuk, Natalia
Despite the availability of modern refrigeration systems, many industrial enterprises still lack integrated solutions for automatic monitoring, fault prediction, and energy consumption optimization. This leads to overspending of resources, product losses, and reduced efficiency of production processes, especially in areas with increased requirements for temperature control (food industry, pharmaceuticals, logistics). The implementation of the Industrial Internet of Things helps optimize production processes, increase equipment efficiency, and reduce maintenance costs. The paper considers an industrial refrigeration equipment monitoring system aimed at food, pharmaceutical, and logistics enterprises. The system provides continuous data collection on temperature, energy consumption, and equipment status using sensors and power meters. It supports integration with cloud platforms and peripheral computing for rapid information processing. This allows for the timely detection of deviations, prediction of malfunctions, and minimization of the risk of product loss due to emergencies. The system is considered for use in production complexes with controlled conditions, refrigerated warehouses, and temperature-controlled transport systems. The use of wireless communication technologies and adaptive data storage mechanisms ensures its reliability even in the event of communication failures. The test results confirmed the effectiveness of the proposed solution, which allows enterprises to reduce operating costs, improve resource management, and increase the energy efficiency of production processes. Therefore, the use of industrial Internet technologies for monitoring refrigeration equipment ensures increased energy efficiency, reduced operating costs, and detection of deviations in system operation.

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