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...
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| Pengarang-pengarang Utama: | , , , |
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| Format: | Artikel |
| Bahasa: | English |
| Diterbitkan: |
Elsevier BV
2015
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/56209/ http://eprints.utm.my/56209/ http://eprints.utm.my/56209/ http://eprints.utm.my/56209/1/AbdullahJubairHalboosAlGizi2015_SugenoFuzzyPIDTunningbyGeneticNeutral.pdf |
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