Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation

• Main Authors: Al Gizi, Abdullah Jubair Halboos, Mustafa, Mohd. Wazir, Al-Geelani, Nasir A., Alsaedi, Malik Abdulrazzaq
• Format: Article
• Language: English
• Published: Elsevier BV 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/56209/1/AbdullahJubairHalboosAlGizi2015_SugenoFuzzyPIDTunningbyGeneticNeutral.pdf; http://eprints.utm.my/id/eprint/56209/; http://dx.doi.org/10.1016/j.asoc.2014.10.046

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...