DECENTRALIZED INFORMATION SYSTEMS IN INTELLIGENT MANUFACTURING MANAGEMENT TASKS

The object of research: the process of distributed management of production processes in intelligent manufacturing. The subject of the study: a model of a decentralized system of technological process management in the production area of a modern plant, taking into account the concept of Industry 4.0. The purpose of the research: improvement of the management methods of intelligent production processes to ensure the execution of the technological process resistant to external influences and to ensure the specified indicators of product quality. The following research methods are used: methods of analysis and synthesis of decentralized production systems, modeling methods and theories of automatic control, mathematical apparatus of matrix theory, methods of describing linear dynamic systems. Obtained results and conclusions. In this work, the simulation of the decentralized information system for controlling the production site of intelligent manufacturing using manipulator robots with an angular coordinate system based on servo drives, which act as stepper motors, is carried out. To ensure the stability of the distributed system, parallel decentralization of the control process is proposed and the architecture of the organization of interaction between the components of the cyber-physical system based on it is given. A feature of the proposed model is the consideration of sensors as part of the feedback of the decentralized control system. The result of the simulation is the stability of the decentralized cyber-physical system to external influences for the selected transient characteristics.

Authors

Publication Details

Journal
Advanced Information Systems
Published
2024-09-23
DOI
https://doi.org/10.20998/2522-9052.2024.3.12
Citations
1
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.33
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article

DECENTRALIZED INFORMATION SYSTEMS IN INTELLIGENT MANUFACTURING MANAGEMENT TASKS

Oksana Sychova, Sergiy Novoselov, Viktors Gopejenko, Ігор Невлюдов et al.
1 citations
Advanced Information Systems
Advanced Research in Systems and Signal Processing
0.33
article

DECENTRALIZED INFORMATION SYSTEMS IN INTELLIGENT MANUFACTURING MANAGEMENT TASKS

Oksana Sychova, Sergiy Novoselov, Viktors Gopejenko, Ігор Невлюдов, Nataliia Kosenko
article en
1 citations

Abstract

The object of research: the process of distributed management of production processes in intelligent manufacturing. The subject of the study: a model of a decentralized system of technological process management in the production area of a modern plant, taking into account the concept of Industry 4.0. The purpose of the research: improvement of the management methods of intelligent production processes to ensure the execution of the technological process resistant to external influences and to ensure the specified indicators of product quality. The following research methods are used: methods of analysis and synthesis of decentralized production systems, modeling methods and theories of automatic control, mathematical apparatus of matrix theory, methods of describing linear dynamic systems. Obtained results and conclusions. In this work, the simulation of the decentralized information system for controlling the production site of intelligent manufacturing using manipulator robots with an angular coordinate system based on servo drives, which act as stepper motors, is carried out. To ensure the stability of the distributed system, parallel decentralization of the control process is proposed and the architecture of the organization of interaction between the components of the cyber-physical system based on it is given. A feature of the proposed model is the consideration of sensors as part of the feedback of the decentralized control system. The result of the simulation is the stability of the decentralized cyber-physical system to external influences for the selected transient characteristics.

Advanced Information SystemsVol. 8(3)
Openalex Percentile: Top 42%
Advanced Research in Systems and Signal Processing
0.33
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