Fuzzy Gain Tuner for Vector Control of Doubly-Fed Wind Driven Induction Generator

In this paper, a fuzzy inference system is proposed to tune the proportional and the integral gains of the PI part of the vector controller used to control a wind driven doubly-fed induction generator (DFIG). The proposed fuzzy system has a single input for each variable to be controlled, which is the error signal of that variable, and two outputs which are the proportional gain and the integral gain. The input signal has 9 membership functions while the outputs have 5 membership functions each. The fuzzy system has 9 rules and the defuzzification method employed is the center of area. The results obtained from a system using the proposed fuzzy gain tuner shows more accurate control and faster response with almost no steady-state error when compared to a system employing constant gains