Method of decentralized control of technological processes in intelligent manufacturing
DOI:
https://doi.org/10.30837/2522-9818.2025.1.166Keywords:
industrial; innovation; Industry 5.0; Internet of Things; intelligent manufacturing; digital twin.Abstract
The technology of digital twins involves the creation of a virtual model of a physical object, process, or system that can be used for modeling, monitoring, testing, and predicting possible future developments based on information from a distributed network of sensors of technological equipment. The implementation of digital twins in the system of automated control of technological processes will allow increasing the efficiency of production processes in intelligent manufacturing. The subject of the research is the architecture of an automated process control system of technology process (ACS TP) in an intelligent factory with the integration of the Industrial Internet of Things technology and a digital twin of the production process. The aim of the research is to improve decentralized control methods for technological processes to enhance the efficiency of production processes in intelligent manufacturing by integrating digital twins into automated control systems. Task: to develop the architecture of a distributed ACS TP in an intelligent factory with the integration of the Industrial Internet of Things technology and a digital twin of the production process. To review the concept of "Digital Twin" in the context of combining this technology with the processes of sustainable development and transformation of the manufacturing industry. To conduct research on the proposed method of integrating a digital twin into the TP management task. In the research, the following methods were used: computer modeling, methods of automatic control theory, methods of analysis, and synthesis of decentralized production systems. The following results were obtained: an architecture of an automated system was developed using a digital twin as a reference model, which describes the ideal development of the control process of the automation object using a digital PID controller. The simulation results showed that the physical model quite accurately reproduces the behavior of the mathematical model of the PID controller with the given parameters. Conclusions: the results of the experimental research showed that the integration of digital twins into automated control systems improves decentralized control methods for technological processes and enhances the efficiency of production processes in intelligent manufacturing. The successful implementation of digital twin technology in intelligent manufacturing, in combination with cloud computing and machine learning, is aimed at achieving sustainable development goals, specifically addressing task 9.5.
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Nevliudov, I., Novoselov, S., Sychova, O. (2024), "Decentralized information systems in intelligent manufacturing management tasks", Advanced Information Systems, Vol. 8, No. 3, P. 100–110. DOI: https://doi.org/10.20998/2522-9052.2024.3.12
Nevliudov, I., Novoselov, S., Sychova, O. (2023), "Control automation of assembly operations using a computer vision system in intelligent production", Journal of natural sciences and technologies, Vol. 2(2), P. 173–182. DOI: 10.5281/zenodo.8098567
Nevliudov, I., Novoselov, S., Sychova, O. (2022), "Modeling and practical implementation of the optimal wireless security gateway for the industrial automation network", Serbian Journal of Electrical Engineering, Vol. 19, No. 3, P. 303–327. DOI: https://doi.org/10.2298/sjee2203303n
Eckhart, M., Ekelhart, A. (2019), "Digital twins for cyber-physical systems security: State of the art and outlook", Security and Quality in CyberPhysical Systems Engineering. Springer, P. 383–412. DOI: https://doi.org/10.1007/978-3-030-25312-7_14
Soori, M., Arezoo, B., Dastres, R. (2023), "Digital twin for smart manufacturing, A review", Sustainable Manufacturing and Service Economics, Vol. 2, 100017 р. DOI: https://doi.org/10.1016/j.smse.2023.100017
"Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies" / H. Sadri et al. (2023), A Systematic Review. Sustainability, Vol. 15(4), 3713 р. DOI: https://doi.org/10.3390/su15043713
Goudarzi, M., Ilager, Sh., Buyya, R. (2022), "Cloud Computing and Internet of Things: Recent Trends and Directions", New Frontiers in Cloud Computing and Internet of Things. Internet of Things. Cham: Springer, DOI: https://doi.org/10.1007/978-3-031-05528-7_1
"Technopolis Group". available at: https://www.technopolis-group.com/wp-content/uploads/2020/05/internet-of-things.pdf (last accessed: 16.02.2025).
"Industrial Internet of Things / ed. by S. Jeschke et al. " (2017), Cham: Springer International Publishing. DOI: 10.1007/978-3-319-42559-7
"The 17 goals". Sustainable Development. available at: https://sdgs.un.org/goals (last accessed: 18.02.2025).
Akbarian, F., Fitzgerald, E., Kihl, M. (2020), "Synchronization in Digital Twins for Industrial Control Systems", Systems and Control. available at: https://arxiv.org/pdf/2006.03447 (last accessed: 15.01.2025).
Attaran, Sh., Attaran, M., Celik, B. (2024), "Digital Twins and Industrial Internet of Things: Uncovering operational intelligence in industry 4.0", Decision Analytics Journal, Vol. 10. DOI: https://doi.org/10.1016/j.dajour.2024.100398
"Digital Twins Approach for Sustainable Industry / L. Xu et al." (2022), Lecture Notes in Business Information Processing, P. 126–134. DOI: 10.1007/978-3-031-07478-3_11
"Industry 5.0. Research and innovation". available at: https://research-and-innovation.ec.europa.eu/research-area/industrial-research-and-innovation/industry-50_en (last accessed: 18.02.2025).
Timperi, M., Kokkonen, K., Hannola, L. (2024), "Digital twins for environmentally sustainable and circular manufacturing sector: visions from industry professionals", Production & Manufacturing Researc, Vol. 12(1). DOI: 10.1080/21693277.2024.2428249
Nevlyudov, I. Sh., Novoselov, S. P., Sichova, O. V. (2023), "Application of digital twins of technical automation tools for the development of software and hardware complexes of automated control systems:" Textbook. [Zastosuvannya tsyfrovykh dviynykiv tekhnichnykh zasobiv avtomatyzatsiyi dlya rozrobky prohramno-tekhnichnykh kompleksiv ASU TP] Kharkiv: Ivanchenko I. S. Publishing House, 267 р. ISBN 978-617-8059-95-8. DOI: 10.30837/978-617-8059-95-8
"Distributed Digital Twins as Proxies - Unlocking Composability & Flexibility for Purpose-Oriented Digital Twins / A. Aziz et al. (2023) IEEE Access. P. 1-17. DOI:10.1109/ACCESS.2023.3340132
Novoselov, S. (2018), "Wireless Sensor Network for Communication Between Base Stations in the Local Positioning System", International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), P. 383–386, DOI: 10.1109/INFOCOMMST.2018.8632140
Leite, J., Martins, P., Ursini, E. (2019), "Internet of Things: An Overview of Architecture, Models, Technologies, Protocols and Applications", Emerging Trends and Challenges in Technology. DOI: 10.1007/978-3-319-93112-8_8
"New Technological Waves Emerging in Digital Transformation: Internet of Things IoT/IoE, 5G/6G Mobile Networks and Industries 4.0/5.0. / L. Emiliano et al." (2023), Smart Innovation, P. 329–339. DOI: 10.1007/978-3-031-31007-2_30
Nevliudov, I., Novoselov, S., Sychova, O. (2023), "Modeling of a Decentralized System for Maintenance of Production Equipment Based on Transport Robots", IEEE 5th International Conference on Modern Electrical and Energy System (MEES), P. 1–6. DOI: 10.1109/MEES61502.2023.10402485
"Enhancing Industrial Process Control: Integrating Intelligent Digital Twin Technology with Proportional-Integral-Derivative Regulators / A. Dapkute et al." (2024), Machines, Vol. 12(5), No 319. DOI: https://doi.org/10.3390/machines12050319
Soza´nski, K. (2023), "Low Cost PID Controller for Student Digital Control Laboratory Based on Arduino or STM32 Modules", Electronics, Vol 12, No. 3235. DOI: https://doi.org/10.3390/electronics12153235
Astrom, K. J., Wittenmark, B. (2013), "Computer Controlled System, Theory and Design", Electronics and Power. ISBN: 0131643193. available at: https://www.academia.edu/37044747/Computer_Controlled_Systems_Astrom_3rdEdition
Ibrahim, D. (2022), "PID-based Practical Digital Control with Raspberry Pi and Arduino Uno", Elektor International Media B.V., 238 р. ISBN: 978-3-89576-520-9.
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