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DOI: 10.15862/03FAOR126 (https://doi.org/10.15862/03FAOR126)

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Nepogoda Ph.V., Goncharov A.V., Shakhovskoy A.V., Tarakanova V.V. Development of distributed control methods for multi-axis drives in flexible manufacturing cells. Russian journal of resources, conservation and recycling. 2026; 13(s1). Available at: https://resources.today/PDF/03FAOR126.pdf (in Russian). DOI: 10.15862/03FAOR126

Development of distributed control methods for multi-axis drives in flexible manufacturing cells

Nepogoda Philip Vladimirovich
K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia
E-mail: a.goncharov@mgutm.ru

Goncharov Andrey Vitalievich
K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia
E-mail: a.goncharov@mgutm.ru

Shakhovskoy Andrey Vladimirovich
K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia
E-mail: a.shakhovskoy@mgutm.ru

Tarakanova Valentina Viktorovna
K.G. Razumovsky Moscow State University of Technology and Management, Moscow, Russia
E-mail: walentt@yandex.ru

Abstract. Modern trends in industrial production are characterized by a fundamental transformation in approaches to building process equipment control systems, driven by the transition to the Industry 4.0 paradigm, the widespread adoption of cyber-physical systems, and increasing demands for flexibility and adaptability in production facilities. This study provides a comprehensive analysis of distributed control methods for multi-axis drives in the context of their integration into flexible production areas, which is particularly relevant for ensuring technological sovereignty and enhancing the competitiveness of the domestic mechanical engineering industry. The study focuses on the theoretical foundations, algorithmic approaches, and practical mechanisms for implementing distributed multi-axis motion control systems in modern production equipment, including CNC machines, industrial robots, and complex automated production lines. Classical theories of automatic control, concepts for building distributed systems based on industrial Ethernet, interpolation and contour control methods, and modern approaches to synchronizing multi-axis drives are considered. This paper analyzes the evolution of concepts in drive control systems, from centralized architectures with programmable logic controllers to distributed structures with intelligent servo drives and edge computing. Key factors for the effective implementation of distributed control are identified, including a communication infrastructure with deterministic real-time protocols, algorithmic support for coordinating motion across multiple axes, mechanisms for precise synchronization of distributed clocks, and software components for ensuring portability and interoperability. The developed conceptual model for distributed control of multi-axis drives demonstrates a multi-level architecture for interaction between a central controller, peripheral intelligent drives, and a production control system, where industrial networks provide the infrastructure for real-time data exchange, interpolation algorithms generate motion trajectories, and synchronization mechanisms ensure the coordinated operation of all axes.

Keywords: distributed control; multi-axis drives; flexible manufacturing systems; EtherCAT; PROFINET; trajectory interpolation; drive synchronization; CNC machine tools; industrial automation; contouring control; servo drive; Industry 4.0; IEC 61131; cyber-physical systems; industrial robots

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