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Advanced Control of a PMSG Wind Turbine
National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
- 1 National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
- 2 National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
- 3 National Engineering School of Gabes, Photovoltaic, Wind and Geothermal Systems Research, Gabes, Tunisia
International Journal of Modern Nonlinear Theory and Application·Volume 05 (2016)·Pages 1–10·Published 2 March 2016·DOI10.4236/ijmnta.2016.51001
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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.
KeywordsWind TurbineVariable SpeedPitch AnglePi ControllerFuzzy Logic ControllerNeural Networks Controller
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