Minimum variance controller based adaptive control for Doubly fed induction generator

This paper presents a system identification based minimum variance controller for active and reactive power control of Doubly Fed Induction Generator (DFIG). The controller is adaptive as the parameters in the control law are updated online based on system identification that relate the output (active and reactive power) and the input (direct and quadrature axis rotor voltages). The main advantage of the proposed controller is the simplicity in design, its adaptability under varying operating conditions and the ability of the controller to perform without the need to measure rotor side quantities. The paper discusses the design of the controller and presents the simulation results from tests performed using MATLAB SimPowerSystems. The results show that the proposed controller can be a better alternative to the existing PI based vector control for DFIG.