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Neural Network Torque Estimator for Switched Reluctance Motor
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| Author(s) |
Constantin PAVLITOV, Hao CHEN, Yassen GORBOUNOV, Tzanko GEORGIEV, Wang XING, Xiaoshu ZAN |
| Abstract |
The neural network torque estimator is based on the identification model of SR motors. It is derived from this model using the concept of superposition of elementary models. The estimator can be applied in SRM controllers where the limitation of dynamic torque is of importance. It is also useful for torque ripple reduction. |
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| Filename: | 0052-epe2009-full-14471796.pdf |
| Filesize: | 598.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2010-01-27 by System |
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