The SVM-DTC system of the bearingless induction motor based on model reference adaptive

Considering the need of speed sensorless operation for bearingless induction motor, the model reference adaptive method which takes reactive power as reference quantity is used to identify speed for the SVM-DTC system of the bearingless induction motor. The method eliminates the influences of pure i...

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Published inProceedings of the 30th Chinese Control Conference pp. 3565 - 3569
Main Authors Yuxin Sun, Yanqing Mao, Xianxing Liu, Zhengqi Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Adaptation models
Bearingless induction motor
Induction motors
Mathematical model
Model reference adaptive
Rotors
Space vector modulation
Speed sensorless
Stator windings
Windings
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Abstract Considering the need of speed sensorless operation for bearingless induction motor, the model reference adaptive method which takes reactive power as reference quantity is used to identify speed for the SVM-DTC system of the bearingless induction motor. The method eliminates the influences of pure integration and rotor resistance. Simulation results show that model reference adaptive control using reactive power as reference quantity can realize the stable suspension and rotation without speed sensor for the bearingless induction motor under the condition of heavy load disturbance. The speed recognition has high accuracy, and the whole control system has good static and dynamic performance.
AbstractList Considering the need of speed sensorless operation for bearingless induction motor, the model reference adaptive method which takes reactive power as reference quantity is used to identify speed for the SVM-DTC system of the bearingless induction motor. The method eliminates the influences of pure integration and rotor resistance. Simulation results show that model reference adaptive control using reactive power as reference quantity can realize the stable suspension and rotation without speed sensor for the bearingless induction motor under the condition of heavy load disturbance. The speed recognition has high accuracy, and the whole control system has good static and dynamic performance.
Author Yanqing Mao
Zhengqi Wang
Xianxing Liu
Yuxin Sun
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  surname: Zhengqi Wang
  fullname: Zhengqi Wang
  organization: Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
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Snippet Considering the need of speed sensorless operation for bearingless induction motor, the model reference adaptive method which takes reactive power as reference...
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SubjectTerms Adaptation models
Bearingless induction motor
Induction motors
Mathematical model
Model reference adaptive
Rotors
Space vector modulation
Speed sensorless
Stator windings
Windings
Title The SVM-DTC system of the bearingless induction motor based on model reference adaptive
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