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Simple Neural Cascade Architecture for Estimating of Stator and R...
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| Author(s) |
Lech Grzesiak |
| Abstract |
We present a simple cascade neural architecture for stator and rotor flux vectors estimation. The system consists of two neural networks. The first one estimates stator flux from the stator voltage and current data, then the second one applies the stator current and already estimated stator flux to rotor flux estimation. the system is learning from examples in a non-traditional way. We use dynamic neural architecture where there is no need to set up number of hidden units in advance. The incremental learning process is very fast and takes place without local error minima. |
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| Filename: | EPE1999 - PP00902 - Grzesiak.pdf |
| Filesize: | 634.8 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-04-07 by System |
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