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Neural Network Aided Unscented Kalman Filter for Sensorless Control of PMSM
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Author(s) |
Jakub TALLA, Zdenek PEROUTKA |
Abstract |
This paper introduces neural network aided unscented Kalman filter (NNUKF) for sensorless control of ac motor drives. Unscented Kalman filter (UKF) is completed by on-line trained neural network which compensates unmodeled dynamics and uncertainties of a drive model. This technique significantly improves behaviour of estimator in critical operating states, especially in low speeds. |
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Filename: | 0904-epe2011-full-11384724.pdf |
Filesize: | 318.9 KB |
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Type |
Members Only |
Date |
Last modified 2012-01-26 by System |
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