TITLE:
Advanced Control of a PMSG Wind Turbine
AUTHORS:
Hafsi Slah, Dhaoui Mehdi, Sbita Lassaad
KEYWORDS:
Wind Turbine, Variable Speed, Pitch Angle, Pi Controller, Fuzzy Logic Controller, Neural Networks Controller
JOURNAL NAME:
International Journal of Modern Nonlinear Theory and Application,
Vol.5 No.1,
March
2,
2016
ABSTRACT: 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.