Robust Learning Fuzzy Control of a Wind Energy Conversion System

In this paper a robust learning fuzzy controller for a wind turbine is designed. Nonlinear characteristics of wind speed and generator model in wind energy conversion systems (WECS) demands for high-quality adaptive controllers to ensure both stability and performance. Furthermore, presence of external disturbances and parameter uncertainties requires our controller to be qualified as robust. It is shown that the designed controller is very well-adapted to the system and enhances performance characteristics when either or both external disturbances and parameter uncertainties are present. A very interesting point about the designed controller is that it requires no prioriinformation about the wind turbine

کلیدواژه ها:

Fuzzy Control ، Learning Control ، Robustness ، Wind Turbine