Please use this identifier to cite or link to this item:
https://er.chdtu.edu.ua/handle/ChSTU/8360| Title: | Створення та дослідження автоматизованої системи керування витратами газу |
| Authors: | Гальченко, Володимир Якович Онищенко, Микола Володимирович |
| Keywords: | автоматизоване регулювання витрати газу;пропорційний клапан;витратомір;регулятор витрати газу зі зворотним зв’язком;програмований логічний контролер |
| Issue Date: | 15-Dec-2025 |
| Abstract: | У роботі розглянуто створення та дослідження автоматизованої системи керування витратою газу на основі компонентів SMC і програмованого логічного контролера для забезпечення стабілізації витрати із зворотним зв’язком. The work considers the development and study of an automated gas flow control system based on SMC components and a programmable logic controller to ensure closed-loop flow stabilization. |
| URI: | https://er.chdtu.edu.ua/handle/ChSTU/8360 |
| Appears in Collections: | 174 Автоматизація, комп'ютерно-інтегровані технології та робототехніка (Робототехнічні системи та автоматизація) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Диплом-магистр_Онищенко М.pdf Restricted Access | КРМ Онищенко М. | 11.03 MB | Adobe PDF | View/Open Request a copy |
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15. A Comprehensive Review on Smart Gas Metering and Monitoring Systems
/ S. Kumar et al. IEEE Access. 2022. Vol. 10. P. 11234–11256.
16. Adaptive Control of Gas Flow in Pipelines Using PID and Fuzzy Logic
Controllers / M. Ali et al. Processes. 2023. Vol. 11, no. 5. Art. 1345.
17. Advanced Flow Control Valves for High-Pressure Gas Applications: A
Review / J. Smith, R. Doe. Journal of Natural Gas Science and Engineering. 2021. Vol.
88. Art. 103812.
18. Al-Garadi M. A., Mohamed A. IoT-based framework for gas consumption
monitoring and leakage detection. Internet of Things. 2020. Vol. 11. Art. 100223.
19. Automation of Gas Distribution Stations: Current State and Future Trends /
P. Kovalenko et al. Energies. 2024. Vol. 17, no. 2. P. 450.
20. CFD Analysis of Gas Flow Through a Control Valve for Noise Reduction /
H. Lee et al. Fluids. 2022. Vol. 7, no. 3. P. 98. ( ).
21. Design and Implementation of a Low-Cost Smart Gas Meter / A. R. Khan
et al. 2021 International Conference on Electrical, Communication, and Computer
Engineering (ICECCE). Kuala Lumpur, Malaysia, 2021. P. 1–5.
22. Development of an Automated Calibration System for Gas Flow Meters /
S. Zhang et al. Measurement. 2023. Vol. 206. Art. 112340.
23. Digital Twin Applications in Gas Pipeline Networks / F. G. Silva.
82
Computers in Industry. 2023. Vol. 145. Art. 103823.
24. Experimental Investigation of Ultrasonic Gas Flow Meter Accuracy Under
Disturbed Flow Conditions / M. Russo et al. Flow Measurement and Instrumentation.
2020. Vol. 74. Art. 101765.
25. Gas Leakage Detection and Flow Control System Based on IoT and
Machine Learning / B. Alhammadi et al. Sensors. 2022. Vol. 22, no. 14. Art. 5130.
26. He X., Zhou Y. Optimal Control of Natural Gas Flow in Pipeline Networks
Based on Deep Reinforcement Learning. IEEE Transactions on Control Systems
Technology. 2024. Vol. 32, no. 1. P. 200–212.
27. High-Precision Gas Flow Control System for Semiconductor
Manufacturing / J. Kim et al. IEEE Transactions on Semiconductor Manufacturing.
2021. Vol. 34, no. 4. P. 512–519.
28. Implementation of MQTT Protocol for Real-Time Gas Monitoring Systems
/ D. Popescu et al. 2022 14th International Conference on Electronics, Computers and
Artificial Intelligence (ECAI). Bucharest, Romania, 2022. P. 1–6.
29. Improving the Accuracy of Thermal Mass Flow Meters in Natural Gas
Measurement / T. Wang. Review of Scientific Instruments. 2021. Vol. 92. Art. 055002.
30. Intelligent Control of Gas Turbine Fuel Flow Using Genetic Algorithms /
R. Thompson. Journal of Engineering for Gas Turbines and Power. 2020. Vol. 142, no.
7. Art. 071015.
31. IoT-Enabled Smart Gas Grids: Architecture and Key Technologies / L.
Chen et al. IEEE Internet of Things Journal. 2021. Vol. 8, no. 10. P. 8245–8259.
32. Mathematical Modeling and Simulation of Gas Flow in Transmission
Pipelines / A. Z. Al-Ghamdi. Applied Mathematics and Computation. 2022. Vol. 419.
Art. 126860.
33. Model Predictive Control for Pressure Regulation in Gas Networks / S.
Lucia et al. Control Engineering Practice. 2023. Vol. 130. Art. 105367.
34. Performance Analysis of Coriolis Mass Flow Meters for Hydrogen-
Enriched Natural Gas / P. Van der Veen. International Journal of Hydrogen Energy.
2024. Vol. 52. P. 850–860.
83
35. Real-Time Monitoring and Control of Gas Distribution Networks Using
SCADA / M. Ivanov. Automation and Remote Control. 2020. Vol. 81. P. 1256–1265.
36. Smart Valve Positioner with Self-Diagnostic Capability for Process
Control / K. Tanaka et al. ISA Transactions. 2021. Vol. 112. P. 345–355.
37. Wireless Sensor Network for Industrial Gas Monitoring: A Review / N. A.
Al-Dmour. Wireless Personal Communications. 2023. Vol. 128. P. 2345–2367.
38. Xiong W., Zhang H. Research on Gas Flow Soft Sensing Modeling Based
on Improved LSTM. 2023 IEEE 6th International Conference on Automation,
Electronics and Electrical Engineering (AUTEEE). Shenyang, China, 2023. P. 450–
454.
39. Yildirim E. Design of an FPGA-Based Controller for High-Speed Gas
Flow Regulation. Microprocessors and Microsystems. 2022. Vol. 94. Art. 104678.
40. Zero-Drift Issues in MEMS-Based Gas Flow Sensors: Analysis and
Compensation / Q. Liu. IEEE Sensors Journal. 2025. Vol. 25, no. 2. P. 1102–1110.