A Novel Fuzzy-MRAS Observer of Wind Turbines Conversion Systems Based on DFIG

Abstract

This study concentrates on sensor less fuzzy logic (FLC) of the chain of wind power related with doubly fed induction generator (DFIG), the power moves between the network and DFIG stator, the converter is utilized in the DFIG rotor. The model reference and adaptive system (MRAS observer) is utilized the error between the real and estimated value (voltages/currents) for the creation of observation speed/position values, this technique is used two independent models The reference model is the first, and the second is a adjustable mode. The adaptive mechanism (PI) makes use of the difference between different models. By replacing a fuzzy controller for the traditional PI, we are able to enhance the performance of the MRAS observer. The simulation's findings supported the robustness of sensor-less fuzzy based on fuzzy MRAS observer over a traditional MRAS.