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Nonlinear Algebraic Parameter Estimation of Doubly Fed Induction Machine Based on Rotor Current Falling Curves

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  • Alexander Glazyrin

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia
    Industrial University of Tyumen, Tyumen 625000, Russia
    Yugra State University, Khanty-Mansiysk 628012, Russia)

  • Dmitriy Bunkov

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Evgeniy Bolovin

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Yusup Isaev

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Vladimir Kopyrin

    (Industrial University of Tyumen, Tyumen 625000, Russia)

  • Sergey Kladiev

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Alexander Filipas

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Sergey Langraf

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Rustam Khamitov

    (Industrial University of Tyumen, Tyumen 625000, Russia)

  • Vladimir Kovalev

    (Yugra State University, Khanty-Mansiysk 628012, Russia)

  • Evgeny Popov

    (Industrial University of Tyumen, Tyumen 625000, Russia)

  • Semen Popov

    (National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Marina Deneko

    (Moscow Technical University of Communications and Informatics, Moscow 111024, Russia)

Abstract

Currently, wind turbines utilize doubly fed induction machines that incorporate a frequency converter in the rotor circuit to manage slip energy. This setup ensures a stable voltage amplitude and frequency that align with the alternating current. It is crucial to accurately determine the parameters of the equivalent circuit from the rotor side of the vector control system of the frequency converter. The objective of this study is to develop a method for the preliminary identification of the doubly fed induction machines parameters by analyzing the rotor current decay curves using Newton’s method. The numerical estimates of the equivalent circuit parameters a doubly fed induction machines with a fixed short-circuited rotor are obtained during the validation of the results on a real plant. It is along with the integral errors of deviation between the experimental rotor current decay curve and the response of the adaptive regression model. The integral errors do not exceed 4% in nearly all sections of the curves. It is considered acceptable in engineering practice. The developed algorithm for the preliminary identification for the parameters of the doubly fed induction machines substitution scheme can be applied with the configuring machines control systems, including a vector control system.

Suggested Citation

  • Alexander Glazyrin & Dmitriy Bunkov & Evgeniy Bolovin & Yusup Isaev & Vladimir Kopyrin & Sergey Kladiev & Alexander Filipas & Sergey Langraf & Rustam Khamitov & Vladimir Kovalev & Evgeny Popov & Semen, 2025. "Nonlinear Algebraic Parameter Estimation of Doubly Fed Induction Machine Based on Rotor Current Falling Curves," Energies, MDPI, vol. 18(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4316-:d:1724002
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    References listed on IDEAS

    as
    1. Fanjie Yang & Yun Zeng & Jing Qian & Youtao Li & Shihao Xie, 2023. "Parameter Identification of Doubly-Fed Induction Wind Turbine Based on the ISIAGWO Algorithm," Energies, MDPI, vol. 16(3), pages 1-19, January.
    2. Bharti, Om Prakash & Saket, R.K. & Nagar, S.K., 2017. "Controller design for doubly fed induction generator using particle swarm optimization technique," Renewable Energy, Elsevier, vol. 114(PB), pages 1394-1406.
    3. Odofin, Sarah & Bentley, Edward & Aikhuele, Daniel, 2018. "Robust fault estimation for wind turbine energy via hybrid systems," Renewable Energy, Elsevier, vol. 120(C), pages 289-299.
    4. Zhi Zheng & Ziqiang Man & Shuxin Tan & Wei Yan & Yu Lu & Jie Tian & Weiqun Liu & Xu Wang, 2025. "Model Reference Adaptive Sensorless Control of Variable-Speed Pumped Storage Doubly Fed Induction Machine Under Reversible Operations," Energies, MDPI, vol. 18(11), pages 1-18, June.
    5. Grzegorz Iwański & Mateusz Piwek & Gennadiy Dauksha, 2023. "Doubly Fed Induction Machine-Based DC Voltage Generator with Reduced Oscillations of Torque and Output Voltage," Energies, MDPI, vol. 16(2), pages 1-16, January.
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