Кафедра автоматизації електротехнічних та мехатронних комплексів (АЕМК)

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Application of a programmable logic controller in industrial washing machines
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Yan Zeng; Toropov, Anton
The dissertation is devoted to the development of an optimal control system for the electric drive of the rotation of the drum of an industrial washing machine. The principles of construction of control systems for an electromechanical system with a significant eccentricity of the load are considered, the features of their operation are determined. An updated model of the electric drive of the washing machine with a significant nonlinearity of the load moment has been developed. The optimal drum speed controller was synthesized by the method of dynamic programming, consisting of the sum of linear and cubic components. The study of the system's performance was carried out by the method of digital modeling using the MATLAB mathematical environment and its Simulink application. A startup project has been developed for the implementation of a PLC-based washing machine control unit.
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Assessment of the energy efficiency potential of mining enterprises
(2020-10-23) Клещов, Антон Йосипович; Тереньєв, Олег Маркович; Шевчук, Наталія; Темченко, Олександр
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Cause-and-effect analysis of microbiological contamination of motor fuels and prospects for the rational use of biodegradation in the processes of recycling waste from the technosphere
(Baltija Publishing, 2021-10-29) Boichenko, Sergii; Shkilniuk, Iryna
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Computer control of technological processes, experiments, equipment. Guide for calculational graphic work
(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Toropov, Anton; Bosak, Alla; Toropova, Liliіa; Kravchenko, Tetyana
The presented guide outlines the main provisions for performing computational graphic work, the subject of which includes the sections of the course on studying the procedure of programming logic controllers, hardware configuration of distributed automation systems, development of automation and control systems. The educational edition for performing computational and graphic work contains basic theoretical information, the work program, instructions for its implementation, requirements for the content of computational and graphic work, and control questions. The existing methods of the synthesis of the theory of digital automata, the features of the implementation of the visualization system, as well as the hardware configuration of the automation system are considered.
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Computer control of technological processes, experiments, equipment. Practicum
(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Toropov, Anton; Bosak, Alla; Toropova, Liliіa; Guryeyeva, Lyudmyla
The presented guide outlines the main provisions for performing practice lessons tasks, which are made based on the special application software Codesys for programming logic controllers. Also, different procedures of logic algorithm synthesis are presented and explained, including part of automation task of the pumps, lift and compressors control. A simplified procedure of hardware configuration of distributed automation systems and development of automation, and control systems with diagram examples is presented as well. The educational edition for solving application tasks of automation contains basic logic systems synthesis procedures, examples of realization of different automation algorithms, appendixes with examples of electrical diagrams with PLC components, and a list of recommended literature.
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Computer modeling of a technical diagnosis system of generator based on a spark ignition engine
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Zhang Wenjun; Zaichenko, Stefan
This thesis is devoted to the development of a technical diagnostics system for autonomous electric generators based on spark-ignition engines. The study analyzes existing diagnostic methods and identifies the compression method as the most informative approach for assessing the technical condition of an electric generator. A modernized compression method is proposed to simplify the diagnostic process and reduce operator requirements. A technical diagnostics system capable of determining the actual compression ratio of the engine was designed and investigated. The proposed system was modeled and verified using MATLAB simulations and laboratory experiments on a physical model. In addition, recommendations for the implementation and scaling of the diagnostics and control system are provided.
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Design of a robotic processing unit based on an industrial PLC
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Wen Zhihui; Toropov, Anton
As the basic equipment of industry, CNC machine tool is an important pillar industry in automobile, aerospace, tools, electronics and other industries. Its level is an important symbol to measure the degree of industrial modernization of a country and it is also an important basic industry with strategic significance in national defense construction. The new generation of production tools of intelligence is an important means to realize digitalization, automation, networking and intellectualization of production. This paper uses PLC to connect CNC machine tools and ground rail dual-arm handling robots to form a fully automatic processing unit through overall design, hardware design, electrical design and program design which improves productivity, reduces labor costs, and makes the whole production process orderly and controllable. In addition, the processing unit integrates several sections such as quality inspection, industrial identification and logistics transportation etc. In the later stage, a largescale automatic production line composed of several processing equipment can be formed through expansion. MES system can also be equipped that is production information management system for workshop execution level of manufacturing enterprises. It can provide data analysis and processing functions for enterprises including manufacturing data management ，production planning management production scheduling management inventory management, quality management and so on. It can further realize intelligence and informatization.
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Electromagnetic focusing of impurities in water purification
(2016-08-30) Тереньєв, Олег Маркович; Ткачук, Констянтин Констянтинович; Тверда, Оксана Яківна; Клещов, Антон Йосипович
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Electromechanical car parking equipment with the development of a system for moving cars between surface and underground parking
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Heng Rui Zhang; Listovshchyk, Leonid
Aiming at the demand for car transfer between ground and underground parking lots, this study designs and optimizes an automatic transfer system based on hydraulic scissor lift. With the acceleration of urbanization, problems such as difficulty in parking and low parking efficiency are becoming increasingly prominent, especially in high-density areas, where traditional manual parking methods can no longer meet the needs. Therefore, an automated and intelligent parking management system has become an important way to solve this problem. To this end, this study developed a hydraulically powered car transfer system, which aims to achieve automatic car transfer between ground and underground parking lots through an efficient and stable lifting mechanism. In terms of system design, the layout and capacity of existing parking lots were first analyzed. By statistically analyzing the capacity and traffic flow data of underground parking lots in a certain urban area, it was found that the utilization rate of underground parking lots reached 85%, but due to the lack of an effective transfer system, there were problems such as long waiting time for vehicles and complex operations. Based on this problem, this paper designed an automatic transfer system with hydraulic scissor lift as the core. The system uses a hydraulic power device to drive the lift, and through precise control algorithms and system scheduling, it achieves efficient transfer of vehicles between ground and underground parking lots. In terms of experiments and simulations, the study constructed a mathematical model of the system and verified its performance in a simulation environment. By comparing the efficiency of the existing traditional manual transfer and this system, the experimental results show that the automated transfer system can improve the vehicle transfer efficiency by more than 30% under the same traffic volume, while greatly reducing the workload of operators. The design parameters of the system, such as lifting speed, load capacity, and power of the hydraulic system, have been precisely calculated and optimized to ensure stability and efficient operation under high load conditions. The results of this study not only provide a new technical solution for the parking lot transfer system, but also provide a certain basis for the development of smart parking lots. In the future, with the further application of intelligent control and big data analysis technologies, the system of this study is expected to achieve more intelligent vehicle scheduling and management, further improve the efficiency of urban parking management, and alleviate parking problems.
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Electromechanical equipment and an automated system for sorting used tires and their pyrolytic disposal
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Yang Bozhi; Boichenko, Sergii
The disposal of used tires remains a pressing environmental challenge, prompting the development of innovative recycling solutions. This article examines advances in electromechanical equipment and automated sorting systems that use sensors, machine vision, and artificial intelligence to accurately identify and classify tires by material properties and dimensions. Particular attention is given to pyrolysis as a sustainable recycling method, which converts tires into reusable byproducts such as pyrolytic oil, carbon black, and scrap steel, along with the role of electromechanical systems in optimizing feedstock preparation, energy efficiency, and emissions control. Drawing on case studies of existing installations and pilot projects, the review assesses real-world performance, challenges, and opportunities, while considering scalability and economic feasibility. The conclusions identify gaps in current technologies and outline directions for future research aimed at improving system integration and advancing a circular economy in the tire recycling industryё
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Electromechanical equipment automated plastic waste sorting system and technology for their disposal
(Igor Sikorsky Kyiv Polytechnic Institute, 2024) Junwei Ren; Boichenko, Sergii
Plastic recycling plays a pivotal role in advancing a circular economy. Effective mechanical recycling requires plastic waste to first be sorted by type, color, and dimensions to recover high-quality material for further processing, while chemical recycling requires excluding certain plastics that can impair the process. Sorting at Materials Recovery Facilities increasingly relies on advanced automated technologies, with accurate identification of plastic types typically achieved through spectroscopic analysis enhanced by machine learning and artificial intelligence. This paper outlines recent advances in integrating machine learning and AI into plastic recycling, reviewing current identification and sorting technologies, and drawing on publicly available data to assess commercial sorting equipment in terms of sensors used, sorting efficiency across plastic types, main applications, capacity, and precision. Despite significant progress, challenges remain in separating plastic films, dark plastics, and multi-polymer materials, and the field continues to evolve with new developments expected to further enhance sorting automation.
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Electromechanical equipment of the Lypovo-Dolinsky oil field with the development of a well vibration treatment system that increase its productivity
(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Lin, Zhijie; Listovshchyk, Leonid
Задачею є створення та дослідження раціональних режимів функціонування імпульсного пристрою для підвищення продуктивності нафтових свердловин. У результаті проведених досліджень була створена конструкція імпульсного пристрою з раціональними геометричними та функціональними параметрами, запропоновано та обґрунтовано параметри регульованого модулю часової затримки для регулювання частоти та амплітуди імпульсів.
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Energy parameters of the installation for implementing the electrohydraulic effect
(Igor Sikorsky Kyiv Polytechnic Institute, 2025) Muzi Li; Zaichenko, Stefan
The master's thesis investigates the energy parameters of the installation for implementing the electrohydraulic effect, developed to function as an innovative hydrodynamic destroyer for humanitarian demining. The work bridges the gap between the theoretical calculation of pulse discharge parameters and the practical engineering of a system capable of neutralizing landmines without detonation. In the first chapter, various humanitarian demining methods are reviewed, including manual, canine, and mechanical techniques. The analysis identifies the main challenges of conventional approaches, such as high operational costs and safety risks, justifying the development of a system that applies the electrohydraulic effect to generate a controlled hydrodynamic pulse for safe mine destruction. The second chapter presents the system design of the installation. It details the selection of structural components specifically the high-voltage power supply, capacitor bank, and electrode chamber required to implement the electrohydraulic effect. The focus is on optimizing the energy storage and release mechanisms to transform electrical energy into a high-velocity liquid jet capable of disabling mines from a safe distance. In the third chapter, analytical modeling and numerical simulations are performed to substantiate the installation's energy parameters. Mathematical models describe the transient processes of the electric discharge. Through theoretical analysis and verification in SolidWorks Flow Simulation, the critical parameters were determined is a discharge energy of 40 kJ, a stabilized voltage of approximately 24,000 V, and a resulting jet velocity of 1186 m/s. These parameters are confirmed to be sufficient for effective mine neutralization while maintaining operational safety . The startup section provides recommendations for the commercialization of the developed technology, highlighting its economic advantages over heavy mechanical demining systems.
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Engineering of electrical and mechatronic complexes. Guidelines to course project
(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Bosak, Alla; Toropov, Anton; Toropova, Liliіa
The presented study guide sets out the main provisions for the implementation of the course project, the subject of which includes sections of the course on the study of the main provisions of consulting and investment and construction engineering, which, in turn, cover the basics of the organization of design work, acquaint applicants with the basic schemes of electric drives, methods of organizing construction, installation and commissioning in the design of electrical complexes and mechatronic systems. The study guide for the course project contains basic theoretical information, tasks for the work, the program of its implementation, requirements for the content of the course project, an example of implementation and control questions. It is proposed to develop a control system for the electric drive of a technological installation with its subsequent synthesis in the MATLAB environment, to carry out a feasibility study of the design solution and marketing research of the existing systems at Ukrainian market.
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Environmental potential analysis of co-processing waste in cement kilns
(2019-08-28) Kleshchov, A.; Hengevoss, D.; Terentiev, O.; Hugi, C.; Safiants, A.; Vorfolomeiev, A.
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Expert computer assessment of knowledge
(2018-05-10) Тереньєв, Олег Маркович; Клещов, Антон Іосипович
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Fundamentals of Chemmotology
(2019-05-19) Boichenko, S. V.; Yakovlieva, A. V.; Vovk, O. O.; Radomska, M. M.; Cherniak, L. M.; Shkilniuk, I. O.
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Improving the Operating Modes of the Electrotechnical Complex of Hydrogen Supply Using Intelligent Control in the Electric Transport System
(Igor Sikorsky Kyiv Polytechnic Institute, 2026) Chen Linfei; Boichenko, Sergii
Chen Linfei. Improving the Operating Modes of the Electrotechnical Complex of Hydrogen Supply Using Intelligent Control in the Electric Transport System. Dissertation for the degree of Doctor of Philosophy (PhD) in Specialty 141 – Electrical Power Engineering, Electrical Engineering, and Electromechanics (Field of Knowledge 14 – Electrical Engineering). – National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, 2026. The dissertation «Improvement of Operating Modes of the Electrotechnical Hydrogen Supply Complex Using Intelligent Control in the Electric Transport System» is dedicated to the urgent scientific task of enhancing the energy efficiency, operational stability, and economic viability of «green» hydrogen infrastructure. Given the rapid electrification of the global transport sector, the local Hydrogen Refueling Station (HRS) has emerged as a critical electrotechnical complex bridging renewable energy source (RES) grids with Fuel Cell Electric Vehicles (FCEVs). However, its efficient operation is severely hindered by a complex «double-stochastic» environment, where the significant intermittency of renewable generation constantly conflicts with the high volatility of refueling demand. Purpose. To enhance the energy efficiency and operational reliability of the electrotechnical hydrogen supply complex for electric transport by developing an intelligent automated control system for electrolyzer operating modes and energy conversion systems based on dynamic spatio-temporal «Source-Grid-Load-Storage» coordination. Relevance. This research aims to eliminate the structural mismatch between intermittent renewable energy and the rigid processes of hydrogen production. By addressing the issues of significant thermal fatigue and degradation of the Membrane Electrode Assembly (MEA) caused by frequent start-stop cycles, this study extends the operational lifespan of megawatt-class electrolyzers and ensures the economic security of large-scale green transport networks. Research Hypothesis. The application of a continuous electrothermal control topology in «hot standby» mode, based on a specialized type of Recurrent Neural Network (RNN) with deep long-term memory (LSTM – Long Short-Term Memory), will minimize the degradation of electrolysis cells and reduce the duration of transient processes during load changes. LSTM was specifically designed to overcome the «gradient vanishing» problem, allowing the system to effectively store and process long data sequences without losing the context of previous steps. This ensures the stability of the hydrogen supply system under the dynamic demand conditions of electric transport. Object of Research – conversion and consumption of electrical energy in hydrogen production and supply systems operating in stochastic conditions for the needs of electric transport. Subject of Research – the mode parameters of intelligent control of electrical equipment of hydrogen filling stations. Research Tasks: 1. To comprehensively describe the electrotechnical system (from the power grid to the electrolyzer) and systematically analyze the dynamic characteristics, degradation mechanisms, and operational constraints of megawatt-class PEM electrolyzers under intermittent power supply conditions, accounting for the non-linearity of characteristics during transient regimes. 2. To perform a critical analysis with comparative examples and characteristics of strengths and weaknesses based on a SWOT analysis. 3. To study the stochastic behavior patterns of FCEV fleet electrical networks and develop a multi-level load forecasting structure. 4. To formulate a macroscopic M/M/S/N queueing model integrated with microscopic vehicle thermodynamics for the quantitative estimation of instantaneous hydrogen mass flow. 5. To design an Automated Electrolyzer Control System (AECS) with a hierarchical architecture for real-time dynamic state management. 6. To justify the selection and adapt Long Short-Term Memory (LSTM) neural network algorithms for high-precision short-term (next-hour) demand forecasting. 7. To create a multiphysics (electrothermal) dynamic model of a multi-PEM electrolyzer cluster using equivalent circuit topologies. 8. To develop a Demand Response strategy allowing the complex to adapt to RES generation schedules (solar/wind) and electricity market prices. 9. To calculate the Levelized Cost of Hydrogen (LCOH) and perform a technoeconomic comparative analysis of the AECS and traditional Rule-Based Control. Chapter 1 analyzes the current state of hydrogen infrastructure development and the critical limitations of existing control methods. It is determined that modern HRS operate in an extremely complex «double-stochastic» environment. A comprehensive literature review indicates that traditional hysteresis (On/Off) control strategies suffer from «information blindness» – they react only to static pressure thresholds in storage tanks. This rigid approach causes significant thermal fatigue, mechanical stress in the MEA, and massive curtailment of renewable energy, failing to resolve the fundamental structural conflict between system efficiency and equipment lifespan. Chapter 2 characterizes a pioneering multi-level load forecasting structure. Departing from the oversimplified static assumptions of previous studies, this section synthesizes macroscopic M/M/S/N queueing theory with microscopic non-linear vehicle thermodynamics (utilizing real gas equations of state) to generate highprecision dynamic load profiles. Mathematical modeling and statistical analysis revealed an acute «supply-demand deficit» driven by traffic surges, quantifying an extreme peak-to-trough ratio of 15:1 during morning and evening rush hours. The results mathematically prove that smoothing these surges solely through passive buffer storage is economically unfeasible due to the exponential increase in CAPEX, confirming the rigorous necessity for active, demand-oriented management. Chapter 3 proposes the core architecture of the Automated Electrolyzer Control System (AECS). The system features a hierarchical structure that organically combines an AI-based load forecasting module (LSTM) with a Deterministic Finite Automata (DFA/FSM). By analyzing historical operational matrices, the LSTM network accurately predicts the aggregate demand for the subsequent hour. As an innovation, a «hot standby» operating mode is added to the FSM logic to dynamically decouple the thermal state of the electrolyzer stack from its electrical load. This enables proactive state transitions based on real-time predictive demand data and solar energy availability, transforming the electrolyzer from a passive load into a highly flexible energy router. Chapter 4 describes the physical validation of the proposed AECS through rigorous multiphysics dynamic simulation in the MATLAB/Simulink environment. Using a 2RC equivalent circuit model combined with a feedback thermal integrator, the electrochemical transient processes of a megawatt-class PEM cluster were simulated. Experimental results demonstrated that providing a minimum holding current density (yielding a production rate of 3,0 kg/h, or approximately 3% of nominal load) balances internal heat generation with environmental dissipation. This precisely maintains the stack temperature above the critical 60°C threshold during idle periods. Consequently, this mechanism completely eliminates the thermal stress associated with cold starts and endows the PEM electrolyzer with the capability to ramp up power in milliseconds to meet sudden load surges. Chapter 5 is dedicated to a comprehensive techno-economic evaluation of the commercial feasibility of the AECS. By comparing the intelligent AECS with standard Rule-Based Control (RBC) under a hybrid Time-of-Use (TOU) tariff, simulations showed exceptionally favorable economic indicators. The AECS successfully synchronized flexible hydrogen production with intermittent solar availability, increasing solar energy utilization from an initial 0% to 38,5%. Through intelligent tariff arbitrage and maximum asset protection, the system achieved a specific production cost to 2,92$/kg (approximately 19,96 CNY/kg based on current exchange rates), representing a significant reduction of 13,20%. Crucially, the implementation of the «hot standby» mode reduced harmful start-stop cycles by 98,3%, substantially decreasing associated depreciation costs. Furthermore, the validated fast transient characteristics confirm the system’s ability to participate in the electricity market as a Virtual Power Plant (VPP), providing critical active power support to the grid. Scientific Novelty: 1. Further developed the methodology of intelligent control for electrolyzer operating modes. The use of an adaptive algorithm based on the LSTM neural network architecture is proposed, allowing for the forecasting of hydrogen demand from electric transport and real-time optimization of the fuel production schedule. 2. Developed a comprehensive mathematical model of the electrotechnical hydrogen supply complex which, unlike existing models, accounts for the interconnection between power converter dynamic characteristics and non-linear electrochemical processes in the electrolyzer during operation from unstable renewable energy sources (RES). 3. Proposed a dual-mode intelligent optimization strategy integrating the Arithmetic Optimization Algorithm (AOA) and the African Vulture Optimization Algorithm (AVOA), and constructed an AO–AVOA–BP neural network model for the high-precision state-of-health (SOH) forecasting of lithium-ion batteries. Practical Significance: 1. The developed AECS architecture, multi-level load forecasting algorithms, and electrothermal models provide a ready-to-use control paradigm for megawatt-scale commercial green hydrogen projects. 2. The proposed «hot standby» strategy reduces start-stop depreciation costs by over 98% and lowers the Levelized Cost of Hydrogen to 2,92$/kg (19,96 CNY/kg). Furthermore, the established dynamic thermal regulation principles will directly facilitate the transformation of hydrogen refueling stations from rigid industrial loads into flexible grid assets. A new approach to integrating a hydrogen refueling complex into the Smart Grid system provides the possibility of the complex's participation in regulating the frequency and power of the power system, which increases the overall stability of the electric vehicle power supply network. 3. The proposed integration of AO and AVOA optimization mechanisms significantly improves global search capabilities and local convergence performance of the BP neural network. A dynamic coordination strategy that solves the «impossible trinity» of hydrogen infrastructure (simultaneously achieving low cost, high RES penetration, and extended service life) has been mathematically interpreted and verified against traditional baseline models. On NASA and CALCE datasets, the AO–AVOA–BP model achieves reductions in MAE, RMSE, and MAPE of 72,9–85,7%, 69,6–85,2%, and 72,6–85,8%, respectively, compared to the baseline BP model. 4. A matching method for hybrid vehicle power plants is proposed, combining orthogonal tests with Cruise software, supplemented by the development of control strategies for critical vehicle components on the MATLAB/Simulink platform. This can significantly reduce the number of experiments and the cost of developing electric vehicle powertrain prototypes. The dissertation consists of 190 pages. The main body contains 24 figures and 20 tables, 51 formulas.
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Intelligent automatic control systems. Workbook for practical classes. Practicum
(Igor Sikorsky Kyiv Polytechnic Institute, 2025) Danilin, Oleksandr; Kulakovskyi, Leonid
The presented manual outlines the basic provisions for completing practical tasks, the topics of which cover the sections of the course "Intelligent Automatic Control Systems". This workshop contains methods of a new modern technology – modeling of fuzzy control systems (fuzzy modeling) in the context of solving practical problems and accented on use specialized software MATLAB for interactive simulation modeling of such fuzzy control systems. Methods for compiling algorithms for modeling fuzzy systems of the Mamdani and Sugeno types, mathematical aspects of indeterminacy, as well as obtaining graphical results of computer modeling are suggested in workbook. The educational workbook intended for master's degree for the educational program "Engineering of Intelligent Electrical and Mechatronic Complexes" by specialty 141 "Electrical Power Engineering, Electrical Engineering and Electromechanics" and will also be useful in the educational process of other higher education institutions during the preparation of professional and scientific masters in electrical power engineering, electrical engineering and electromechanics.
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Intelligent Decision-Making Systems. Practicum
(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Rosen, Viktor; Kulakovskyi, Leonid; Bosak, Alla
The practicum is devoted to students' acquisition skills of decision-making methods. Such skills can be applied in various fields of energy to control the operation of electrical and mechatronic complexes. On the classes, the methods for solving optimization problems of decision-making on the effective management of the functioning and development of electrical and mechatronic complexes in order to reduce the use of fuel and energy, material and labor resources, increase the level of reliability, efficiency and quality of production facilities are considered. The purpose of studying the course "Intelligent Decision Making Systems" is to develop students' skills and abilities to meaningfully formulate and formalize a wide range of optimization problems that arise in the process of automated control of production systems, as well as effective analysis of functioning processes based on an arsenal of mathematical programming methods, methods of decision theory.

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