Speed estimation of faulty three-phase induction motor using model reference adaptive system
In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this m...
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Institute of Electrical and Electronics Engineers Inc.
2016
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my.utm.734122017-11-23T01:37:09Z http://eprints.utm.my/id/eprint/73412/ Speed estimation of faulty three-phase induction motor using model reference adaptive system Monadi, A. Jannati, M. Idris, N. R. N. Alavi, S. E. TK Electrical engineering. Electronics Nuclear engineering In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this method during normal condition the conventional MRAS is used to estimate motor speed. However, during the fault condition the conventional MRAS is switched to the novel algorithm based MRAS. This novel algorithm is designed based on the model of three-phase induction motor under open-phase fault. Simulation results are presented to show the effectiveness of the proposed technique. This paper also compares the performance of conventional and proposed MRAS during open-phase fault. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Monadi, A. and Jannati, M. and Idris, N. R. N. and Alavi, S. E. (2016) Speed estimation of faulty three-phase induction motor using model reference adaptive system. 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-s2.0-84964341231&doi=10.1109%2fCENCON.2015.7409572&partnerID=40&md5=3093cc6fbd643c39b060fb1f31986dd7 |
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TK Electrical engineering. Electronics Nuclear engineering Monadi, A. Jannati, M. Idris, N. R. N. Alavi, S. E. Speed estimation of faulty three-phase induction motor using model reference adaptive system |
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In this paper, a method for speed estimation of faulty three-phase induction motor (three-phase induction motor under stator winding open-phase fault) based on Model Reference Adaptive System (MRAS) is presented. The proposed method can be used for both healthy and faulty induction motors. In this method during normal condition the conventional MRAS is used to estimate motor speed. However, during the fault condition the conventional MRAS is switched to the novel algorithm based MRAS. This novel algorithm is designed based on the model of three-phase induction motor under open-phase fault. Simulation results are presented to show the effectiveness of the proposed technique. This paper also compares the performance of conventional and proposed MRAS during open-phase fault. |
format |
Conference or Workshop Item |
author |
Monadi, A. Jannati, M. Idris, N. R. N. Alavi, S. E. |
author_facet |
Monadi, A. Jannati, M. Idris, N. R. N. Alavi, S. E. |
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Monadi, A. |
title |
Speed estimation of faulty three-phase induction motor using model reference adaptive system |
title_short |
Speed estimation of faulty three-phase induction motor using model reference adaptive system |
title_full |
Speed estimation of faulty three-phase induction motor using model reference adaptive system |
title_fullStr |
Speed estimation of faulty three-phase induction motor using model reference adaptive system |
title_full_unstemmed |
Speed estimation of faulty three-phase induction motor using model reference adaptive system |
title_sort |
speed estimation of faulty three-phase induction motor using model reference adaptive system |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2016 |
url |
http://eprints.utm.my/id/eprint/73412/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964341231&doi=10.1109%2fCENCON.2015.7409572&partnerID=40&md5=3093cc6fbd643c39b060fb1f31986dd7 |
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13.211869 |