Paper title: SPEED SENSORLESS VECTOR CONTROL OF INDUCTION MOTOR USING ONLINE NEURAL VOLTAGE-CURRENT PHASE DIFFERENCE ESTIMATION
Author(s): RABIE SAIFI, NASREDDINE NAIT-SAID, ABDESSALAM MAKOUF, LARBI CHRIFI-ALAOUI, SAID DRID,
Abstract: This paper aims to describe a speed sensorless control of induction motor (IM) based on a new neural network estimator of the
rotor speed. This method is based on the extraction of the rotor speed information from the command frequency and the phase
difference between stator current and voltage. The data used to train the artificial neural network (ANN) are obtained from
steady state equivalent circuit of the induction motor simulated for various frequency. The experimental results show the
efficiency of the proposed speed estimation technique at high speed and at very low speed.
Keywords: Induction motor, Speed sensorless, Neural network, Vector control Year: 2018 | Tome: 63 | Issue: 4 | Pp.: 403-409
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