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Improved speed sensorless control for induction motor drives using rotor flux angle estimation

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10259877" target="_blank" >RIV/61989100:27240/25:10259877 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://eie.khpi.edu.ua/article/view/323045" target="_blank" >http://eie.khpi.edu.ua/article/view/323045</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.20998/2074-272X.2025.6.12" target="_blank" >10.20998/2074-272X.2025.6.12</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Improved speed sensorless control for induction motor drives using rotor flux angle estimation

  • Popis výsledku v původním jazyce

    Introduction. In the typical field-oriented control (FOC) method, the variation of machine resistance is not considered when calculating the rotor flux angle. This omission affects the accuracy of the control method during motor operation, leading to potential performance degradation. Problem. Neglecting stator resistance variations in the voltage model-based FOC technique can cause rotor flux angle estimation deviation. This inaccuracy impacts motor speed control, especially under varying operating conditions where resistance changes due to temperature fluctuations. Goal. This paper aims to improve the accuracy of rotor flux angle estimation in the voltage model-based FOC technique by incorporating a real-time stator resistance estimation process. Methodology. The proposed research integrates a model reference adaptive system to estimate the stator resistance and replaces the rated resistance value in the rotor flux angle calculation algorithm of the FOC technique. The effectiveness of the method is evaluated by using MATLAB/Simulink simulations, where the estimated resistance value is compared with the actual resistance value, and the motor speed control performance is analyzed. Simulation results demonstrate that the proposed method significantly enhances the accuracy of rotor flux angle estimation by adapting to changes in stator resistance. This improvement ensures better motor speed control performance, reducing deviations between the actual and reference speeds under different operating conditions. Scientific novelty of this research lies in integrating real-time stator resistance estimation into the rotor flux angle calculation process of the voltage model-based FOC technique, addressing a key limitation in typical FOC approaches. Practical value. By improving the accuracy of rotor flux angle estimation, the proposed method enhances the stability and efficiency of motor speed control. This ensures better performance in industrial applications where precise motor control is essential under varying operating conditions. References 27, figures 11. © C.D. Tran, M. Kuchar, P.D. Nguyen.

  • Název v anglickém jazyce

    Improved speed sensorless control for induction motor drives using rotor flux angle estimation

  • Popis výsledku anglicky

    Introduction. In the typical field-oriented control (FOC) method, the variation of machine resistance is not considered when calculating the rotor flux angle. This omission affects the accuracy of the control method during motor operation, leading to potential performance degradation. Problem. Neglecting stator resistance variations in the voltage model-based FOC technique can cause rotor flux angle estimation deviation. This inaccuracy impacts motor speed control, especially under varying operating conditions where resistance changes due to temperature fluctuations. Goal. This paper aims to improve the accuracy of rotor flux angle estimation in the voltage model-based FOC technique by incorporating a real-time stator resistance estimation process. Methodology. The proposed research integrates a model reference adaptive system to estimate the stator resistance and replaces the rated resistance value in the rotor flux angle calculation algorithm of the FOC technique. The effectiveness of the method is evaluated by using MATLAB/Simulink simulations, where the estimated resistance value is compared with the actual resistance value, and the motor speed control performance is analyzed. Simulation results demonstrate that the proposed method significantly enhances the accuracy of rotor flux angle estimation by adapting to changes in stator resistance. This improvement ensures better motor speed control performance, reducing deviations between the actual and reference speeds under different operating conditions. Scientific novelty of this research lies in integrating real-time stator resistance estimation into the rotor flux angle calculation process of the voltage model-based FOC technique, addressing a key limitation in typical FOC approaches. Practical value. By improving the accuracy of rotor flux angle estimation, the proposed method enhances the stability and efficiency of motor speed control. This ensures better performance in industrial applications where precise motor control is essential under varying operating conditions. References 27, figures 11. © C.D. Tran, M. Kuchar, P.D. Nguyen.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20201 - Electrical and electronic engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Electrical Engineering and Electromechanics

  • ISSN

    2074-272X

  • e-ISSN

    2309-3404

  • Svazek periodika

    2025

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    UA - Ukrajina

  • Počet stran výsledku

    5

  • Strana od-do

    93-97

  • Kód UT WoS článku

    001609468600011

  • EID výsledku v databázi Scopus

    2-s2.0-105022313890