Self-tuning fuzzy-PI-based current control algorithm for doubly fed induction generator

This study presents a fuzzy-proportional-integral (PI) controller having self-tuning property for current control of doubly fed induction generator (DFIG). Two fuzzy-PI-based controllers: first one is used for controlling rotor current of DFIG, whereas the other come up with optimal output-scaling factor for the former are employed to carry out the algorithm. The proposed controller is robust with different operating conditions and parameter changes because of having adaptive feature. The performance of the control algorithm both transient and steady-state conditions are tested with several experiments performed various operating points. The results achieved from both simulation and experimental tests verify that the implemented method is superior to steady-state and transient response at all operations as exhibits robustness to wind speed and parameter variations.