Issue |
E3S Web Conf.
Volume 541, 2024
VI International Scientific Forum on Computer and Energy Sciences (WFCES 2024)
|
|
---|---|---|
Article Number | 02009 | |
Number of page(s) | 9 | |
Section | Energy: Production, Distribution, Storage | |
DOI | https://doi.org/10.1051/e3sconf/202454102009 | |
Published online | 18 June 2024 |
Intelligent vector-frequency control system for asynchronous electric motors
1 Navoi State University of Mining and Technologies, Department of Metrology, standardization and certification, Agriculture faculty, 210100 Navoi, Uzbekistan
2 Navoi State University of Mining and Technologies, Department of Automation and control, Agriculture faculty, 210100 Navoi, Uzbekistan
* Corresponding author: jumaev5216@mail.ru
This article analyzes the main directions and principles of developing a mathematical model for creating an intelligent system for vector-frequency control of asynchronous electric motors. Particular attention is paid to the development of a frequency converter structure that allows the implementation of an energy-saving algorithm in a direct torque control (DTC) system to reduce stator current consumption from the power source. This approach guarantees stable operation of the electric motor under various load conditions and voltage changes in the electrical network. The synthesis of a speed control system and current control loops are considered and generalized models of a vector control system are developed using the Matlab software package and the main Simulink library.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.