Minimum variance adaptive speed estimation technique for vector control of Doubly Fed Induction Generator

This paper presents a novel sensor-less speed estimation technique applicable for vector control of the Doubly Fed Induction Generator (DFIG). The proposed technique can substitute the use of speed sensors and rotor position measurements. The proposed method is based on online identification of system parameters that minimizes the speed estimation error using minimum variance controller based on the machine rotor currents. The paper explains about the design of the controller and small signal model of the DFIG for the controller design. The technique is validated both in MATLAB Simulink and Opal RT´s Real Time simulation platform for a 2kW Doubly Fed Induction Machine setup.