Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks

Batyrbek, Alibek; Kuznetsov, Valeriy; Kuznetsov, Vitalii; Rojek, Artur; Kovalenko, Viktor; Tkalenko, Oleksandr; Tytiuk, Valerii; Krasovskyi, Pavlo

doi:10.3390/en18215763

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Open AccessArticle

Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks

by

Alibek Batyrbek

^1,*,

Valeriy Kuznetsov

^2,*

,

Vitalii Kuznetsov

^3,*

,

Artur Rojek

²

,

Viktor Kovalenko

⁴,

Oleksandr Tkalenko

⁵,

Valerii Tytiuk

⁶ and

Pavlo Krasovskyi

⁷

¹

Department of Artificial Intelligence Technologies, Faculty of Energy, Transport and Management Systems, NPJSC «Karaganda Industrial University», Republic Avenue, 30, Temirtau 101400, KR, Kazakhstan

²

Electric Energy Department, Railway Research Institute, 50 Józefa Chłopickiego Street, 04-275 Warsaw, Poland

³

Department of Electrical Engineering, Faculty of Electomechanic and Electrometallurgy, Dnipro Metallurgical Institute, Ukrainian State University of Science and Technologies, 2 Lazaryana Street, 49000 Dnipro, DR, Ukraine

⁴

Department of Electrical Engineering and Cyber-Physical Systems, Y.M. Potebnia Engineering Educational and Scientific Institute, Zaporizhzhia National University, 66 Universytetska Street, 69600 Zaporizhzhia, ZR, Ukraine

⁵

Department of Cyberphysical and Information-Measuring Systems, Faculty of Electrical Engineering, Institute of Power Engineering, Dnipro University of Technology, 19 Dmytro Yavornytskyi Avenue, 49005 Dnipro, DR, Ukraine

⁶

Department of Electromechanics, Electrotechnical Faculty, Kryvyi Rih National University, Vitaly Matusevich, Str, 11, 50027 Kryvyi Rih, DR, Ukraine

⁷

Department of Energy, Faculty of Computer Science and Engineering, Educational and Scientific Institute “Ukrainian State University of Chemical Technology”, Ukrainian State University of Science and Technology, 8 Nauky Avenue, 49005 Dnipro, DR, Ukraine

^*

Authors to whom correspondence should be addressed.

Energies 2025, 18(21), 5763; https://doi.org/10.3390/en18215763 (registering DOI)

Submission received: 9 October 2025 / Revised: 24 October 2025 / Accepted: 29 October 2025 / Published: 31 October 2025

(This article belongs to the Section F5: Artificial Intelligence and Smart Energy)

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Abstract

The objective of this work was to study the possibility of upgrading the control system of the drum shear mechanism by using neural network PI controllers to improve the efficiency of the sheet-metal cutting process. The developed detailed model of the mechanism, including a dual DC electric drive with three subordinate control loops for the voltage of the thyristor converter, current and speed of the motors, a 6-mass kinematic system with viscoelastic connections as well as a model of the metal cutting process, made it possible to uncover that the interaction of electric drives with the mechanical part leads to significant speed fluctuations during the cutting process, which worsens the quality of the sheet-metal edge. A modified system of current and speed controllers with built-in three-layer fitting neural networks as nonlinear components of proportional-integral channels is proposed. An algorithm for the fast learning of neural controllers using the gradient descent method in each cycle of calculating the controller signal is also proposed. The developed neuro-regulators make it possible to reduce the amplitude of speed fluctuations during the cutting process by four times, ensuring the effective damping of oscillations and reducing the duration of transient processes to 0.1 s.

Keywords: neural network PI controller; DC electric drive with three subordinate control loops; drum shear mechanism

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MDPI and ACS Style

Batyrbek, A.; Kuznetsov, V.; Kuznetsov, V.; Rojek, A.; Kovalenko, V.; Tkalenko, O.; Tytiuk, V.; Krasovskyi, P. Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks. Energies 2025, 18, 5763. https://doi.org/10.3390/en18215763

AMA Style

Batyrbek A, Kuznetsov V, Kuznetsov V, Rojek A, Kovalenko V, Tkalenko O, Tytiuk V, Krasovskyi P. Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks. Energies. 2025; 18(21):5763. https://doi.org/10.3390/en18215763

Chicago/Turabian Style

Batyrbek, Alibek, Valeriy Kuznetsov, Vitalii Kuznetsov, Artur Rojek, Viktor Kovalenko, Oleksandr Tkalenko, Valerii Tytiuk, and Pavlo Krasovskyi. 2025. "Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks" Energies 18, no. 21: 5763. https://doi.org/10.3390/en18215763

APA Style

Batyrbek, A., Kuznetsov, V., Kuznetsov, V., Rojek, A., Kovalenko, V., Tkalenko, O., Tytiuk, V., & Krasovskyi, P. (2025). Control of Drum Shear Electric Drive Using Self-Learning Artificial Neural Networks. Energies, 18(21), 5763. https://doi.org/10.3390/en18215763

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