Open AccessSpeed estimation vector-controlled induction motor drive based on fuzzy logic control flux estimator
Author(s) -
Luo Yung-Chang,
Tsai Chen-Lung
Publication year - 2019
Publication title -
journal of low frequency noise, vibration and active control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.419
H-Index - 25
eISSN - 2048-4046
pISSN - 1461-3484
DOI - 10.1177/1461348418784187
Subject(s) - control theory (sociology) , vector control , stator , induction motor , estimator , direct torque control , fuzzy logic , computer science , voltage , control engineering , engineering , mathematics , control (management) , artificial intelligence , electrical engineering , statistics
A current-and-voltage serial-model stator flux estimator, based on fuzzy logic control for a speed estimation stator flux vector-controlled induction motor drive, is proposed in this study. Stator current and flux was used to establish direct stator flux vector-controlled induction motor drive and the estimated synchronous speed was derived from the developed voltage-and-current serial-model stator flux estimator. The estimated rotor speed was acquired by subtracting the slip speed from the estimated synchronous speed. The adaptation mechanism of this flux estimator was designed using the fuzzy logic control approach because it is simple and suitable for use under variable conditions. This system was simulated using the MATLAB\Simulink toolbox and all the control algorithms were realized by an RX62T microcontroller. Both simulation and experimental results confirmed the effectiveness of the proposed approach.
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