Model of rotary-vane engine startup for control strategy analysis considering empirically determined initial speed

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Yuriy A. Ushenko
Dmytro I. Uhrin
Yurii O. Halin

Abstract

The theses present a model for studying the startup of a rotary-vane engine from zero speed, which enables the investigation and comparison of different initial control strategies. The model implements the use of adaptive torque control algorithms that ensure a guided transition of the system from rest to operating mode. To evaluate engine performance during startup, a set of metrics is defined, including the time to reach operating mode, the number of revolutions during acceleration, and energy consumption. The software reproduces the startup dynamics step by step, calculates the pressure in the working chambers, gas-induced torques, electrical torques of reversible motor-generators, and records all key parameters. This allows for empirical determination of the optimal startup speed, analysis of the influence of different control strategies, and formulation of conclusions regarding their effectiveness. The resulting model can serve as a foundation for developing digital twins of rotary engines and for optimizing control systems in the fields of energy and robotic applications.

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Author Biographies

Yuriy A. Ushenko, Yuriy Fedkovich Chernivtsi National University, 2, Kotsyubinsky Str. Chernivtsi, 58012, Ukraine

Doctor of Physics and Mathematics, Professor of the Department of Computer Sciences

Scopus Author ID: 6701840218

 

Dmytro I. Uhrin, Yuriy Fedkovich Chernivtsi National University, 2, Kotsyubinsky Str. Chernivtsi, 58012, Ukraine

Doctor of Engineering Sciences, Professor of the Department of Computer Sciences

Scopus Author ID: 57163746300

Yurii O. Halin, Yuriy Fedkovich Chernivtsi National University, 2, Kotsyubinsky Str. Chernivtsi, 58012, Ukraine

PhD Student of the Department of Computer Systems Software

How to Cite

Model of rotary-vane engine startup for control strategy analysis considering empirically determined initial speed. (2025). Informatics. Culture. Technology, 2, 108–112. https://doi.org/10.15276/ict.02.2025.15

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