| Titre : | Intelligent control of a large variable speed wind turbine (2012) |
| Auteurs : | Mohammad A. Ayoubi, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Transactions of the ASME. Journal of solar energy engineering (Vol. 134 N° 1, Janvier/Fevrier 2012) |
| Article en page(s) : | 8 p. |
| Note générale : | Solar energy |
| Langues : | Anglais |
| Tags : | 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=JSEEDO000134000001011001000001&idtype=cvips&gifs=Yes&ref=no |
