Speed Sensorless Control of a Doubly Fed Induction Motor Drives using MRAS Estimator

Abstract

In this paper, direct vector control by rotor flux orientation for doubly fed induction motor without mechanical sensor based on the MRAS estimator is discussed, this method consists in developing two models one of reference and the other adjustable for the estimation of the two components of the rotor flux from the measurement of currents, statoric and rotor voltages respectively, the speed estimated is obtained by canceling the difference between the rotor flux of the reference model and the adjustable one, while using the theory of hyperstability to obtain the adaptive mechanism the simulation results are presented to validate the proposed method.

Improved Sensorless Control of Doubly Fed Induction Motor Drive Based on Full Order Extended Kalman Filter Observer

“…Note that the term sensor less refers to the absence of a speed sensor on the motor shaft, and that motor currents and voltages must still be measured. The vector control method requires also estimation of the flux linkage of the machine, whether the speed is estimated or not [8][9][10]. Various control algorithms have been proposed for the elimination of speed and position sensors: estimators using state equations, artificial intelligence, Model Reference Adaptive System (MRAS), Extended Kalman Filters (EKF), Extended Luenberger Observer (ELO), sliding mode observer ect.…”