PMSM Rotor Speed and Position Estimator
Estimation techniques have been developed for flux observer, rotor position, and speed. The techniques have a common problem of the offset in voltage-sensor and current-sensor outputs increasing during integration, causing instability. This paper describes an attempt to overcome the problem through...
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2011
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my.utem.eprints.94592015-05-28T04:04:12Z http://eprints.utem.edu.my/id/eprint/9459/ PMSM Rotor Speed and Position Estimator Said, Mohamed Azmi TK Electrical engineering. Electronics Nuclear engineering Estimation techniques have been developed for flux observer, rotor position, and speed. The techniques have a common problem of the offset in voltage-sensor and current-sensor outputs increasing during integration, causing instability. This paper describes an attempt to overcome the problem through estimations of rotor position and speed of a permanent magnet synchronous motor (PMSM) by three methods: with cascaded low pass filter (LPF), with adaptive sensorless rotor flux observer, and with sliding mode observer (SMO). Simulation on Matlab/Simulink validated the proposed method. The advantages and drawbacks of each implementation are discussed. 2011-05-28 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/9459/1/Renewal_Energy_Symposium.pdf Said, Mohamed Azmi (2011) PMSM Rotor Speed and Position Estimator. Proceedings of the 2nd UMPEDAC Postgraduate Students Renewable Energy Symposium. pp. 85-90. ISSN ISBN 978-967-10842-0-5 |
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TK Electrical engineering. Electronics Nuclear engineering Said, Mohamed Azmi PMSM Rotor Speed and Position Estimator |
| description |
Estimation techniques have been developed for flux observer, rotor position, and speed. The techniques have a common problem of the offset in voltage-sensor and current-sensor outputs increasing during integration, causing instability. This paper describes an attempt to overcome the problem through estimations of rotor position and speed of a permanent magnet synchronous motor (PMSM) by three methods: with cascaded low pass filter (LPF), with adaptive sensorless rotor flux observer, and with sliding mode observer (SMO). Simulation on Matlab/Simulink validated the proposed method. The advantages and drawbacks of each implementation are discussed. |
| format |
Article |
| author |
Said, Mohamed Azmi |
| author_facet |
Said, Mohamed Azmi |
| author_sort |
Said, Mohamed Azmi |
| title |
PMSM Rotor Speed and Position Estimator |
| title_short |
PMSM Rotor Speed and Position Estimator |
| title_full |
PMSM Rotor Speed and Position Estimator |
| title_fullStr |
PMSM Rotor Speed and Position Estimator |
| title_full_unstemmed |
PMSM Rotor Speed and Position Estimator |
| title_sort |
pmsm rotor speed and position estimator |
| publishDate |
2011 |
| url |
http://eprints.utem.edu.my/id/eprint/9459/1/Renewal_Energy_Symposium.pdf http://eprints.utem.edu.my/id/eprint/9459/ |
| _version_ |
1665905401596477440 |
| score |
13.160551 |