Methods for Digital Twins Synthesis Based on Digital Identification Models of Production Processes

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Abstract

The paper presents an approach to the development of a new digital twin type. It offers to use closed-loop identifiers for generating point identification models based on associative knowledge. Procedures for calculating control actions in the conditions of possible abrupt changes of process operation modes are described.

About the authors

Natalia N. Bakhtadze

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Author for correspondence.
Email: sung7@yandex.ru

Doctor of Engineering Sciences, Professor, Principal Researcher

Russian Federation, Moscow

Artem E. Konkov

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Email: konkov@physics.msu.ru

Researcher

Russian Federation, Moscow

Denis V. Elpashev

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Email: den.elpshv@gmail.com

Researcher

Russian Federation, Moscow

Vladislav N. Kushnarev

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Email: grand_yarl@mail.ru

Engineer

Russian Federation, Moscow

Kirill S. Mukhtarov

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Email: kirill.muhtarov@mail.ru

Junior Researcher

Russian Federation, Moscow

Aleksey V. Purtov

KAMAZ

Email: aleksey.v.purtov@gmail.com

Department Director, Chief Designer of Digital Design Systems

Russian Federation, Naberezhnye Chelny

Valery E. Pyatetsky

National University of Science and Technology "MISIS"

Email: 7621496@gmail.com

Doctor of Engineering Sciences, Head of Department, Business Informatics and Production Control Systems

Russian Federation, Moscow

Aleksey A. Chereshko

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Email: chereshkoalex@gmail.com

Senior Researcher, Candidate of Engineering Sciences

Russian Federation, Moscow

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