Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter
This research discusses d-q model and Rotor Flux Oriented Control (RFOC) method for faulty three-phase induction motor (three-phase induction motor when one of the stator phases is opened). In the controlling method, two transformation matrixes are applied to the equations of faulty three-phase indu...
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2013
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my.utm.379722018-04-12T05:38:56Z http://eprints.utm.my/id/eprint/37972/ Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter Monadi, Ali TK Electrical engineering. Electronics Nuclear engineering This research discusses d-q model and Rotor Flux Oriented Control (RFOC) method for faulty three-phase induction motor (three-phase induction motor when one of the stator phases is opened). In the controlling method, two transformation matrixes are applied to the equations of faulty three-phase induction motor. As a result, the equations of faulty three-phase induction motor become similar to the balanced mode. By employing some modifications in the conventional block diagram of balanced induction motor, controlling of faulty three-phase induction motor is possible. Additionally, Extended Kalman Filter (EKF) is used for rotor speed estimation. The main advantage of the proposed method is it can be employed for asymmetrical single-phase induction motor. Simulation and Experemental results demonstrate the validity and applicability of the method to improve performance of faulty three-phase induction motor. 2013-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/37972/1/AliMonadiMFKE2013.pdf Monadi, Ali (2013) Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. |
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TK Electrical engineering. Electronics Nuclear engineering Monadi, Ali Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
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This research discusses d-q model and Rotor Flux Oriented Control (RFOC) method for faulty three-phase induction motor (three-phase induction motor when one of the stator phases is opened). In the controlling method, two transformation matrixes are applied to the equations of faulty three-phase induction motor. As a result, the equations of faulty three-phase induction motor become similar to the balanced mode. By employing some modifications in the conventional block diagram of balanced induction motor, controlling of faulty three-phase induction motor is possible. Additionally, Extended Kalman Filter (EKF) is used for rotor speed estimation. The main advantage of the proposed method is it can be employed for asymmetrical single-phase induction motor. Simulation and Experemental results demonstrate the validity and applicability of the method to improve performance of faulty three-phase induction motor. |
format |
Thesis |
author |
Monadi, Ali |
author_facet |
Monadi, Ali |
author_sort |
Monadi, Ali |
title |
Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
title_short |
Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
title_full |
Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
title_fullStr |
Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
title_full_unstemmed |
Speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
title_sort |
speed control of sensorless rotor field oriented for faulty three-phase induction motor by using extended kalman filter |
publishDate |
2013 |
url |
http://eprints.utm.my/id/eprint/37972/1/AliMonadiMFKE2013.pdf http://eprints.utm.my/id/eprint/37972/ |
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