Nonlinear Algebraic Parameter Estimation of Doubly Fed Induction Machine Based on Rotor Current Falling Curves
| Parent link: | Energies.— .— Basel: MDPI AG Vol. 18, iss. 16.— 2025.— Article number 4316, 23 p. |
|---|---|
| Other Authors: | Glazyrin A. S. Aleksandr Saveljevich, Bunkov D. S. Dmitry Sergeevich, Bolovin E. V. Evgeny Vladimirovich, Isaev Yu. N. Yusup Niyazbekovich, Kopyrin V. A. Vladimir Anatoljevich, Philipas A. A. Alexander Alexandrovich, Langraf S. V. Sergey Vladimirovich, Khamitov R. N. Rustam Nurimanovich, Kovalev V. Z. Vladimir Zakharovich, Popov E. I. Evgeny Igorevich, Popov S. S. Semen Semenovich, Kladiev S. N. Sergey Nikolaevich, Deneko M. V. Marina Vitaljevna |
| Summary: | 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 Текстовый файл |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.3390/en18164316 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=683205 |
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