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

<p>This article presents a new development of an indirect stator flux-oriented controller for sensorless speed induction motor drive utilising instantaneous and steady-state values, respectively, of a fictitious resistance symbolised as R_f. The dimension of the fictitious quantity, in this context, is the ohm, which is the difference between the stator <italic>d</italic>- and <italic>q</italic>-axis fictitious resistances. However, from the measurement of the stator voltage and currents of the machine, two independent resistance estimators are built. Therefore, the first is considered as a reference model of the induction machine (IM), and the second is considered as an adjustable model. Subsequently, the error between the states of the two models is used to drive a suitable adaptation mechanism that generates the estimation of the speed, for the adjustable model. Furthermore, the structure of the proposed estimator is free from stator resistance and eliminates the requirement of any flux computation. All the detailed simulation study is carried out in MATLAB/Simulink to validate the proposed method and to highlight the robustness and the stability of the proposed model reference adaptive system estimator.</p>
</abstract>

This article presents a new development of an indirect stator flux-oriented controller for sensorless speed induction motor drive utilising instantaneous and steady-state values, respectively, of a fictitious resistance symbolised as R_f. The dimension of the fictitious quantity, in this context, is the ohm, which is the difference between the stator d- and q-axis fictitious resistances. However, from the measurement of the stator voltage and currents of the machine, two independent resistance estimators are built. Therefore, the first is considered as a reference model of the induction machine (IM), and the second is considered as an adjustable model. Subsequently, the error between the states of the two models is used to drive a suitable adaptation mechanism that generates the estimation of the speed, for the adjustable model. Furthermore, the structure of the proposed estimator is free from stator resistance and eliminates the requirement of any flux computation. All the detailed simulation study is carried out in MATLAB/Simulink to validate the proposed method and to highlight the robustness and the stability of the proposed model reference adaptive system estimator.

Sensorless Induction Motor Drive Based on Model Reference Adaptive System Scheme Utilising a Fictitious Resistance

Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA)

Institut Supérieur des Etudes Technologiques de Bizerte

Institut Supérieur des Etudes Technologiques de Sfax

Power Electronics and Drives

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

This article presents a new development of an indirect stator flux-oriented controller for sensorless speed induction motor drive utilising instantaneous and...

Sensorless Induction Motor Drive Based on Model Reference Adaptive System Scheme Utilising a Fictitious Resistance

Online veröffentlicht: 31. Dez. 2020

Seitenbereich: 199 - 213

Eingereicht: 18. Aug. 2020

Akzeptiert: 08. Nov. 2020

DOI: https://doi.org/10.2478/pead-2020-0015

Schlüsselwörter
indirect stator flux-oriented controller (ISFOC) model, model reference adaptive system (MRAS), fictitious resistance, rotor speed estimation, induction motor (IM)

© 2020 Soufien Hajji et al., published by Sciendo

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

Sensorless Induction Motor Drive Based on Model Reference Adaptive System Scheme Utilising a Fictitious Resistance

Online veröffentlicht: 31. Dez. 2020

Seitenbereich: 199 - 213

Eingereicht: 18. Aug. 2020

Akzeptiert: 08. Nov. 2020

DOI: https://doi.org/10.2478/pead-2020-0015

Schlüsselwörterindirect stator flux-oriented controller (ISFOC) model, model reference adaptive system (MRAS), fictitious resistance, rotor speed estimation, induction motor (IM)

© 2020 Soufien Hajji et al., published by Sciendo

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

Schlüsselwörter
indirect stator flux-oriented controller (ISFOC) model, model reference adaptive system (MRAS), fictitious resistance, rotor speed estimation, induction motor (IM)