Online Rotor Resistance Estimation Using The ModelReference Adaptive System Of Induction Motor

Youssef Agrebi*, Yassine Koubaa**, Mohamed Boussak***
* Associate Professor, Institut Supérieur des Etudes Technologiques de Sidi Bouzid, Tunisia.
** Head of Automatic Control Research Laboratory, Sfax-Tunisia.
*** Senior Professor, Ecole Centrale Marseille (ECM), France.
Periodicity:January - March'2010
DOI : https://doi.org/10.26634/jee.3.3.1120

Abstract

In the speed sensorless of the induction motor, the machine parameters (especially rotor resistance Rr) have a strong influence on the speed estimation. This paper presents an original method of estimating the rotor resistance of a conventional Indirect Stator Flux Oriented Controlled (ISFOC) induction motor drive. A Model Reference System (MRAS) has been formed to estimate the rotor resistance which is tuned to obtain high-performance ISFOC induction motor drive.The reference and adjustable models, developed in stationary stator reference frame, are used in the MRAS scheme to estimate induction rotor resistance from measured terminal voltages and currents. The IP gains speed controller and PI gains current controller are calculated and tuned at each sampling time according to the new estimated rotor resistance. The proposed algorithm has been tested by numerical simulation, showing the capability of driving active load; and stability is preserved. Experimental test have been carried out in order to validate the effectiveness of the proposed scheme. The controller was implemented on a digital signal processor based on dSPACE DS1104. The experimental resultants show the satisfactory behavior of the proposed approach in terms of dynamic performance.

Keywords

How to Cite this Article?

Youssef Agrebi, Yassine Koubaa and Mohamed Boussak (2010). Online Rotor Resistance Estimation Using The Model Reference Adaptive System of Induction Motor. i-manager’s Journal on Electrical Engineering, 3(3), Jan-Mar 2010, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 1-10. https://doi.org/10.26634/jee.3.3.1120

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