Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation
We report a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system, using a combined genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic approaches. GA and a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV,
2015-03.
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| Subjects: | |
| Online Access: | Get fulltext |