Neural Adaptive Kalman Filter for Sensorless Vector Control of Induction Motor
This paper presents a novel neural adaptive Kalman filter for speed sensorless field oriented vector control of induction motor. The adaptive observer proposed here is based on MRAS (model reference adaptive system) technique, where the linear Kalman filter calculate the stationary components of sta...
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Autores principales: | , , , |
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Formato: | EJournal Article |
Publicado: |
Institute of Advanced Engineering and Science,
2017-12-01.
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Acceso en línea: | Get Fulltext |
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Número de Clasificación: |
A1234.567 |
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