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Sensorless Control of SRM by the Aid of Artificial Neural Network Adaptive Reference Model
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| Author(s) |
Constantin PAVLITOV, Hao CHEN, Ilhami COLAK, Tasho TASHEV, Yassen GORBOUNOV |
| Abstract |
This paper deals with an adaptive reference controlled SRM, based on a virtual model implemented by the aid of artificial neural networks. That makes the model quite precise and adequate and permits real SRM and full-order observer to work in parallel. This observer promotes the implementation of sensorless control. |
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| Filename: | 0003-epe2011-full-10125246.pdf |
| Filesize: | 719.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2012-01-26 by System |
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