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2002•Unpublished venueRequires access

General adaptation law for MRAS high performance sensorless induction motor drives

G. Griva, F. Profumo, Radu Bojoi, Valeriu Bostan, M. Cuius, C. Ilas

Open publisher page 20 citations

Abstract

This paper presents a new general adaptation law for sensorless vector control of induction motors using the model reference adaptive system (MRAS) approach with Luenberger observer. The method has been experimentally tested and compared with the classical adaptation mechanism at both low and high speed.

About this research paper

What this paper is about

This paper presents a new general adaptation law for sensorless vector control of induction motors using the model reference adaptive system (MRAS) approach with Luenberger observer. The method has been experimentally tested and compared with the classical adaptation mechanism at both low and high speed.

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OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a new general adaptation law for sensorless vector control of induction motors using the model reference adaptive system (MRAS) approach with Luenberger observer. The method has been experimentally tested and compared with the classical adaptation mechanism at both low and high speed.

Key concepts: MRAS, Control theory (sociology), Induction motor, Adaptation (eye), Adaptive system, Vector control, Observer (physics), Computer science

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