Sliding mode observer-based MRAS for direct torque control of induction motor

This paper proposes a sensorless sliding mode observer based model reference adaptive system applied to a direct torque control of the induction motor drive. The reference model is a sensorless sliding mode observer and the adaptive model is a typical current model. The proposed scheme provides spee...

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Main Authors: Alamri, Y. A., Idris, N. R. N., Alsofyani, I. M.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
Online Access:http://eprints.utm.my/id/eprint/73399/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964324872&doi=10.1109%2fCENCON.2015.7409573&partnerID=40&md5=40edf978b8b3e409d6e671298f31eb7f
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spelling my.utm.733992017-11-21T08:17:08Z http://eprints.utm.my/id/eprint/73399/ Sliding mode observer-based MRAS for direct torque control of induction motor Alamri, Y. A. Idris, N. R. N. Alsofyani, I. M. TK Electrical engineering. Electronics Nuclear engineering This paper proposes a sensorless sliding mode observer based model reference adaptive system applied to a direct torque control of the induction motor drive. The reference model is a sensorless sliding mode observer and the adaptive model is a typical current model. The proposed scheme provides speed and rotor flux estimations with the derivative of rotor flux set as the state of the adaptive mechanism. The simulation results show the effectiveness of the proposed observer compared with the conventional model reference adaptive system. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Alamri, Y. A. and Idris, N. R. N. and Alsofyani, I. M. (2016) Sliding mode observer-based MRAS for direct torque control of induction motor. In: 2nd IEEE Conference on Energy Conversion, CENCON 2015, 19 - 20 Okt 2015, Johor Bahru, Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964324872&doi=10.1109%2fCENCON.2015.7409573&partnerID=40&md5=40edf978b8b3e409d6e671298f31eb7f
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Alamri, Y. A.
Idris, N. R. N.
Alsofyani, I. M.
Sliding mode observer-based MRAS for direct torque control of induction motor
description This paper proposes a sensorless sliding mode observer based model reference adaptive system applied to a direct torque control of the induction motor drive. The reference model is a sensorless sliding mode observer and the adaptive model is a typical current model. The proposed scheme provides speed and rotor flux estimations with the derivative of rotor flux set as the state of the adaptive mechanism. The simulation results show the effectiveness of the proposed observer compared with the conventional model reference adaptive system.
format Conference or Workshop Item
author Alamri, Y. A.
Idris, N. R. N.
Alsofyani, I. M.
author_facet Alamri, Y. A.
Idris, N. R. N.
Alsofyani, I. M.
author_sort Alamri, Y. A.
title Sliding mode observer-based MRAS for direct torque control of induction motor
title_short Sliding mode observer-based MRAS for direct torque control of induction motor
title_full Sliding mode observer-based MRAS for direct torque control of induction motor
title_fullStr Sliding mode observer-based MRAS for direct torque control of induction motor
title_full_unstemmed Sliding mode observer-based MRAS for direct torque control of induction motor
title_sort sliding mode observer-based mras for direct torque control of induction motor
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/73399/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964324872&doi=10.1109%2fCENCON.2015.7409573&partnerID=40&md5=40edf978b8b3e409d6e671298f31eb7f
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score 13.160551