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A New Fuzzy Filter with Application in DC Motor Control System
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Author(s) |
X. Z. Gao; A. Durnitrescu; V. Burtea; S. J. Ovaska |
Abstract |
In this paper, we propose a new fuzzy filter. Different from the existing fuzzy filters, our model applies the
self-organizing map algorithm together with the least
squares method to get the optimal membership functions
as well as the consequent inference parameters. This approach
results in a delayless fuzzy filter that has more efficient
filtering capability than the conventional fuzzy filters.
A DC servo motor system is employed here as a testbed for
this fuzzy filter. Simulation shows that our fuzzy filter is
efficiently capable of filtering out the harmful velocity
noise produced by the low-cost tachometer in the feedback
loop. |
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Filename: | Unnamed file |
Filesize: | 414.6 KB |
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Type |
Members Only |
Date |
Last modified 2006-02-20 by System |
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