A torque-based MRAS estimator for position/speed sensor-less control of DFIG systems

In this paper, an electromagnetic torque-based model reference adaptive system (MRAS) is proposed for sensor-less control of doubly-fed induction generator (DFIG) systems. The proposed electromagnetic torque based MRAS estimator aims at extracting the rotor speed in the synchronous reference frame. The advantage of the proposed MRAS estimator is its simplicity due to the fact that it requires only the three-phase rotor current and the reference three-phase rotor voltage as inputs. The small signal analysis is used to conduct stability study of the proposed rotor speed estimator. The PI gains of the MRAS estimator are determined using pole placement. The performance of the proposed rotor speed estimator is validated under various operating conditions of the DFIG using MATLAB/SIMULINK.