High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation
This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor...
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Institute of Advanced Engineering and Science
2016
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my.utm.727362017-11-27T09:02:12Z http://eprints.utm.my/id/eprint/72736/ High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation Jannati, Mohammad Sutikno, Tole Nik Idris, Nik Rumzi Abdul Aziz, Mohd. Junaidi TK Electrical engineering. Electronics Nuclear engineering This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor flux is obtained from two modified EKF with two different stator currents (forward and backward stator currents). The proposed technique can significantly reduce the DC-offset problem on the pure integrator associated with the basic IRFOC method. The Matlab simulation results confirm the validity of the proposed strategy. Institute of Advanced Engineering and Science 2016 Article PeerReviewed Jannati, Mohammad and Sutikno, Tole and Nik Idris, Nik Rumzi and Abdul Aziz, Mohd. Junaidi (2016) High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation. International Journal of Electrical and Computer Engineering, 6 (2). pp. 458-467. ISSN 2088-8708 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960114141&doi=10.11591%2fijece.v6i1.9011&partnerID=40&md5=ae231f752781d26dfae77d50a72b8a18 |
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TK Electrical engineering. Electronics Nuclear engineering Jannati, Mohammad Sutikno, Tole Nik Idris, Nik Rumzi Abdul Aziz, Mohd. Junaidi High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
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This paper proposes a novel flux observer based on Extended Kalman Filter (EKF) for high performance vector control of 3-phase Induction Motor (IM) drives under stator winding open-phase fault. The presented flux estimation combines the Indirect Rotor Field-Oriented Control (IRFOC) method. The rotor flux is obtained from two modified EKF with two different stator currents (forward and backward stator currents). The proposed technique can significantly reduce the DC-offset problem on the pure integrator associated with the basic IRFOC method. The Matlab simulation results confirm the validity of the proposed strategy. |
format |
Article |
author |
Jannati, Mohammad Sutikno, Tole Nik Idris, Nik Rumzi Abdul Aziz, Mohd. Junaidi |
author_facet |
Jannati, Mohammad Sutikno, Tole Nik Idris, Nik Rumzi Abdul Aziz, Mohd. Junaidi |
author_sort |
Jannati, Mohammad |
title |
High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
title_short |
High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
title_full |
High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
title_fullStr |
High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
title_full_unstemmed |
High performance vector control of 3-phase im drives under open-phase fault based on EKF for rotor flux estimation |
title_sort |
high performance vector control of 3-phase im drives under open-phase fault based on ekf for rotor flux estimation |
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Institute of Advanced Engineering and Science |
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2016 |
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http://eprints.utm.my/id/eprint/72736/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960114141&doi=10.11591%2fijece.v6i1.9011&partnerID=40&md5=ae231f752781d26dfae77d50a72b8a18 |
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13.211869 |