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A self-organising neuro-fuzzy speed estimator for DC motor drives
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| Author(s) |
D.Kukolj; E. Levi |
| Abstract |
The paper deals with an application of a self-organising Takagi-Sugeno fuzzy rule-based model,
combined with a feed-forward neural network, as a speed estimator for separetely excited DC motor
drives. The proposed speed estimator is characterised with moderate computational requirements and
with a simple knowledge base. These features have enabled implementation of the speed estimator in
a low-cost 20-bit MASC 3500 digital signal processor. The implemented speed estimator was tested
for a variety of operating conditions and a very satisfactory accuracy was achieved. |
| Download |
| Filename: | EPE2001 - PP00306 - Levi.pdf |
| Filesize: | 58.3 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-11 by System |
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