Intelligent control of a large variable speed wind turbine / Mohammad A. Ayoubi in Transactions of the ASME. Journal of solar energy engineering, Vol. 134 N° 1 (Janvier/Fevrier 2012)  

Public ISBD [article]  inTransactions of the ASME. Journal of solar energy engineering > Vol. 134 N° 1 (Janvier/Fevrier 2012) . - 8 p. Titre : Intelligent control of a large variable speed wind turbine Type de document : texte imprimé Auteurs : Mohammad A. Ayoubi, Auteur Année de publication : 2012 Article en page(s) : 8 p. Note générale : Solar energy Langues : Anglais (eng) Mots-clés : Adaptive control, Fuzzy Intelligent neurocontrollers, Numerical analysis, Particle swarm Optimisation, PI Power generation Rotors, wind turbines Résumé : We present two intelligent controllers for large and flexible wind turbines operating in high-speed winds, a Fuzzy-P + I and an adaptive neuro-fuzzy controller. The control objective is to regulate the rotor speed at the given rated power in region 3 (full load) via collective blade pitch angle. The modeled turbine is a three-bladed, upwind machine with a flexible blade and tower. We use the particle swarm optimization method in off-line training for our adaptive neuro-fuzzy controller. Numerical simulations are performed using wind inflow step change with a set of input–output data of a nonlinear wind turbine model. We compare the performance of the proposed controllers with the baseline PI-controller. Simulation results confirm successful performance of the proposed controllers. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO000134000001 [...] [article] Intelligent control of a large variable speed wind turbine [texte imprimé] / Mohammad A. Ayoubi, Auteur . - 2012 . - 8 p. Solar energy Langues : Anglais (eng) in Transactions of the ASME. Journal of solar energy engineering > Vol. 134 N° 1 (Janvier/Fevrier 2012) . - 8 p. Mots-clés : Adaptive control, Fuzzy Intelligent neurocontrollers, Numerical analysis, Particle swarm Optimisation, PI Power generation Rotors, wind turbines Résumé : We present two intelligent controllers for large and flexible wind turbines operating in high-speed winds, a Fuzzy-P + I and an adaptive neuro-fuzzy controller. The control objective is to regulate the rotor speed at the given rated power in region 3 (full load) via collective blade pitch angle. The modeled turbine is a three-bladed, upwind machine with a flexible blade and tower. We use the particle swarm optimization method in off-line training for our adaptive neuro-fuzzy controller. Numerical simulations are performed using wind inflow step change with a set of input–output data of a nonlinear wind turbine model. We compare the performance of the proposed controllers with the baseline PI-controller. Simulation results confirm successful performance of the proposed controllers. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO000134000001 [...]

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