NEW PERSPECTIVES ON THE USE OF ASYNCHRONOUS MOTORS WITH A PHASE ROTOR BASED ON THE DOUBLE-FED INDUCTION MACHINE SCHEME

Authors

  • Yurii Shramko LLC "Technical University "Metinvest Polytechnic" https://orcid.org/0000-0002-8141-260X
  • Oleh Yashchuk Dnipro State Technical University
  • Oleksandr Lukianenko LLC "Technical University "Metinvest Polytechnic"
  • Serhii Pavlyshyn LLC "Technical University "Metinvest Polytechnic"

DOI:

https://doi.org/10.32782/3041-2080/2025-3-14

Keywords:

asynchronous motors, phase rotor, double-fed induction machines, wind energy, mining industry, control algorithms, energy efficiency

Abstract

The article investigates new perspectives on the use of asynchronous motors with a phase rotor based on the double-fed induction machine (DFIM) scheme, which is one of the most versatile solutions for systems with adjustable electric drives. The relevance of the study is driven by the need to enhance energy efficiency, operational stability, and adaptability to changing operating conditions in industries such as wind energy, mining, and transportation.The study analyzes existing systems and identifies their main drawbacks, including sensitivity to network parameter changes and control complexity. The applied mathematical models account for effects in rotor windings and stator currents. Simulations were conducted to analyze the system’s performance under various load conditions.Proposed control algorithms ensure stable motor operation under dynamic load changes and minimize energy losses. The results of mathematical modeling confirm the effectiveness of the developed approaches, particularly in improving stability compared to traditional methods.The practical significance of the work lies in the potential implementation of the proposed solutions in wind energy and industrial systems, where high efficiency and reliability are critical. The findings contribute to the development of DFIM control systems and expand their application areas.

References

Gasmi H., Benbouhenni H., Colak I., Tafticht T., Bizon N. Using the proportional dual integral strategy to improve the characteristics of the indirect field-oriented control of DFIG-based wind turbine systems. e-Prime – Advances in Electrical Engineering, Electronics and Energy. 2024. Vol. 9. P. 100749. DOI: https://doi.org/10.1016/j.prime.2024.100749

Peresada S., Tilli A., Tonielli A. Power control of a doubly fed induction machine via output feedback. Control Engineering Practice. 2004. Vol. 12. Issue 1. P. 41–57. DOI: https://doi.org/10.1016/S0967-0661(02)00285-X

Xu L., Cheng W. Torque and reactive power control of a doubly fed induction machine by positionsensorless scheme. IEEE Transactions on Industry Applications. 1995. Vol. 31. No. 3. P. 636–642. DOI: https://doi.org/10.1109/28.382126

Moussaoui A., Ben Attous D., Benbouhenni H., Bekakra Y., Nedjadi B., Elbarbary Z. M. S. Enhanceddirect torque control based on intelligent approach for doubly-fed induction machine fed by three-level inverter. Heliyon. 2024. Vol. 10. Issue 21. DOI: https://doi.org/10.1016/j.heliyon.2024.e39738

Chantoufi A., Derouich A., El Ouanjli N., Mahfoud S., El Idrissi A. Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers. e-Prime – Advances in Electrical Engineering, Electronics and Energy. 2025. Vol. 11. P. 100882. DOI: https://doi.org/10.1016/j.prime.2024.100882

Saihi L., Berbaoui B., Ferroudji F., Roummani K., Koussa K. Implementing an advanced neural in the integral sliding mode first order controller for wind turbine chains with DFIG. 2024 4th International Conference on Embedded & Distributed Systems (EDiS). BECHAR, Algeria, 2024. P. 325–329. DOI: https://doi.org/10.1109/EDiS63605.2024.10783214

Kadi S., Benbouhenn H., Hamdan I., Abdelkarim E. An advanced backstepping control scheme via active and reactive powers for DFIM-based on variable-speed turbine energy. Sohag Engineering Journal. 2024. ISSN 2735-5888. EISSN 2735-5896. DOI: https://doi.org/10.21608/sej.2024.338390.1071

Reigosa D. D., Guerrero J. M., Diez A. B., Briz F. Rotor temperature estimation in doubly-fed induction machines using rotating high-frequency signal injection. IEEE Transactions on Industry Applications. 2017. Vol. 53. No. 4. P. 3652–3662. DOI: https://doi.org/10.1109/TIA.2017.2684742

Madeswaran A., Bisht D., Yuvaraj S., Reedy M.U., Al-Attabi K., Dhablia A. AI-controlled wind turbine systems: Integrating IoT and machine learning for smart grids. E3S Web of Conferences. 2024. Vol. 540. P. 03008. DOI: https://doi.org/10.1051/e3sconf/202454003008

Liu Z., Zou L., Liu X. D., Pang S. Construction and testing of detailed simulation examples for wind turbine generator units. 2024 IEEE 7th International Electrical and Energy Conference (CIEEC). Harbin, China, 2024. P. 915–920. DOI: https://doi.org/10.1109/CIEEC60922.2024.10583822.

Клюєв О. В., Садовой О. В., Сохіна Ю. В. Системи керування асинхронними вентильними каскадами : монографія / Дніпр. держ. техн. ун-т (ДДТУ). Кам’янське: ДДТУ, 2018. 293 с.

Published

2025-03-27

Issue

Section

AUTOMATION, COMPUTER-INTEGRATED TECHNOLOGIES AND ROBOTICS