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Neural Network Based Tuning of Speed Observer For Control System of Induction Motor
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| Author(s) |
M. Wlas; Z. Krzemiñski |
| Abstract |
A speed observer for the induction motor is presented in the paper. Correction of observer properties by application of artificial neural network are proposed. Two architecture of ANN are presented and implemented in sensorless control: MLP – multi-layer percepton and Elman recurrent NN. Motor parameters are estimated and used to learn additional neural network used for approximation of parameter dependences. Results of experiments are presented. |
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| Filename: | EPE-PEMC2002 - T7-011 - Wlas.pdf |
| Filesize: | 549.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-13 by System |
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