MRAS observer for sensorless control of standalone doubly fed induction generators

This paper presents an analysis of a model reference adaptive system (MRAS) observer for the sensorless control of a standalone doubly fed induction generator (DFIG). The analysis allows the formal design of the MRAS observer of given dynamics and further allows the prediction of rotor position esti...

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Veröffentlicht in:IEEE transactions on energy conversion 2005-12, Vol.20 (4), p.710-718
Hauptverfasser: Cardenas, R., Pena, R., Proboste, J., Asher, G., Clare, J.
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creator Cardenas, R.
Pena, R.
Proboste, J.
Asher, G.
Clare, J.
description This paper presents an analysis of a model reference adaptive system (MRAS) observer for the sensorless control of a standalone doubly fed induction generator (DFIG). The analysis allows the formal design of the MRAS observer of given dynamics and further allows the prediction of rotor position estimation errors under parameter mismatch. The MRAS observer analysis is experimentally implemented for the vector control of a standalone DFIG feeding a load at constant voltage and frequency. Experimental results, including speed catching of an already spinning machine, are presented and extensively discussed. Although the method is validated for a standalone generator, the proposed MRAS observer can be extended to other applications of the doubly fed induction machine.
doi_str_mv 10.1109/TEC.2005.847965
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The analysis allows the formal design of the MRAS observer of given dynamics and further allows the prediction of rotor position estimation errors under parameter mismatch. The MRAS observer analysis is experimentally implemented for the vector control of a standalone DFIG feeding a load at constant voltage and frequency. Experimental results, including speed catching of an already spinning machine, are presented and extensively discussed. Although the method is validated for a standalone generator, the proposed MRAS observer can be extended to other applications of the doubly fed induction machine.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TEC.2005.847965</doi><tpages>9</tpages></addata></record>
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subjects Adaptive control
Adaptive systems
Electric potential
Estimation error
Frequency
Generators
Induction generator
Induction generators
induction motor drives
Machine vector control
Mathematical analysis
Mathematical models
Observers
Programmable control
Rotors
Sensorless control
Spinning machines
wind energy
title MRAS observer for sensorless control of standalone doubly fed induction generators
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