Sensorless Nonlinear Control of a Doubly Fed Induction Generator Using MRAS Observers

A model reference adaptive system (MRAS) observer for the estimation of the position and speed of a doubly fed induction generator in a nonlinear control drive is proposed. MRAS makes the speed estimation a reliable scheme especially when the motor parameters are poorly known or have large variations. Depending on the tuning signal driving the adaptation mechanism, there could be a number of different MRAS schemes. Rotor current based MRAS has been chosen because of its advantages. The proposed MRAS method has been compared with a conventional sensorless method in terms of robustness to parameter variations, ease of implementation and precision. Simulation results show the priority of the proposed scheme to the conventional one.

Keywords:

Doubly Fed Induction Generator , Feedback Linearization , Model Reference Adaptive System , Nonlinear Control