<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.</p>
</abstract>

In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.

Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives

Wroclaw University of Science and Technology, Drives and Measurements

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the...

Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives

Publié en ligne: 06 déc. 2020

Pages: 143 - 156

Reçu: 23 juil. 2020

Accepté: 02 sept. 2020

DOI: https://doi.org/10.2478/pead-2020-0008

Mots clés
induction motor drive, rotor resistance estimator, model reference adaptive system, virtual current sensor, fault tolerant control

© 2020 Michał Adamczyk, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives

Publié en ligne: 06 déc. 2020

Pages: 143 - 156

Reçu: 23 juil. 2020

Accepté: 02 sept. 2020

DOI: https://doi.org/10.2478/pead-2020-0008

Mots clésinduction motor drive, rotor resistance estimator, model reference adaptive system, virtual current sensor, fault tolerant control

© 2020 Michał Adamczyk, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
induction motor drive, rotor resistance estimator, model reference adaptive system, virtual current sensor, fault tolerant control