Author(s)

Hafsi Slah, Dhaoui Mehdi^*, Sbita Lassaad

National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia.

In this work, an intelligent artificial control of a variable speed wind turbine (PMSG) is proposed. First, a mathematical model of turbine written at variable speed is established to investigate simulations results. In order to optimize energy production from wind, a pitch angle and DC bus control law is synthesized using PI controllers. Then, an intelligent artificial control such as fuzzy logic and artificial neural network control is applied. Its simulated performances are then compared to those of a classical PI controller. Results obtained in MATLAB/Simulink environment show that the fuzzy and the neuro control is more robust and has superior dynamic performance and hence is found to be a suitable replacement of the conventional PI controller for the high performance drive applications.

Wind Turbine, Variable Speed, Pitch Angle, Pi Controller, Fuzzy Logic Controller, Neural Networks Controller

Slah, H. , Mehdi, D. and Lassaad, S. (2016) Advanced Control of a PMSG Wind Turbine. International Journal of Modern Nonlinear Theory and Application, 5, 1-10. doi: 10.4236/ijmnta.2016.51001.