METHOD OF DECENTRALIZED CONTROL OF TECHNOLOGICAL PROCESSES IN INTELLIGENT MANUFACTURING

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.