DEVELOPMENT OF A SPEED SENSORLESS INDUCTION MOTOR DRIVES USING AN ADAPTIVE NEURO-FUZZY FLUX OBSERVER

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Published Nov 16, 2012
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Vol 13 No 1 (2013): Volume 13 / 2013

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Nedjadi BENHARIR
Dept. of electrical engineering, Polytechnic School of Oran, Algeria
Abdelkader MECHERNENE
Dept. of Electrical Engineering, University of Science and Technology of Oran, Algeria
Soufyane CHEKROUN
Dept. of automatic, University of Science and Technology of Oran, Algeria
Mokhtar ZERIKAT
Dept. of electrical engineering, Polytechnic School of Oran, Algeria

Abstract

In this paper, we propose an adaptive neuro-fuzzy
inference system for high performance induction
motor drive. The simultaneous observation of
rotor speed and stator resistance in induction
drive is obtained through a neuro-fuzzy observer
trained with a backpropagation algorithm. The
dynamic performance and robustness of the
proposed neuro-fuzzy adaptive observer are
evaluated under a variety of operation conditions.
The suggested approach is designed and
simulated in the laboratory and its effectiveness in
tracking application is verified. The results have
shown excellent tracking performance of the
proposed speed sensorless control system and
have convincingly demonstrated the usefulness of
the hybrid neuro-fuzzy flux observer in high
performance drives with uncertainties.

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