Title of article :
Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator
Author/Authors :
Choug, N. Faculty of Technology - LSTE Laboratory - University of Mostefa Ben Boulaïd Batna 2, Algeria , Benaggoune, S. Faculty of Technology - LSTE Laboratory - University of Mostefa Ben Boulaïd Batna 2, Algeria , Belkacem, S. LEB Research Laboratory - Electrical Engineering Department - University of Mostefa Ben Boulaïd Batna 2, Algeria
Abstract :
This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector
control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic,
Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the
classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement theory. The
various strategies are analyzed and compared in terms of tracking, robustness, and sensitivity to the speed
variation. Simulations are done using MATLAB software. The simulation results prove that the proposed
approach leads to good performances such as the tracking test, the rejection of disturbances and the
robustness concerning the parameter variations. The hybrid controller is much more efficient compared
to those of PI and RST controller, it also improves the performance of the powers and ensures some
important strength despite the parameter variation of the DFIG.
Keywords :
Doubly Fed Induction Generator , Vector Control , Reference Signal Tracking , Fuzzy Control , Parameters Uncertainly
Journal title :
International Journal of Engineering