AUTHORS: Chaymae Fahassa, Mohamed Akherraz, Abderrahim Bennassar
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ABSTRACT: Several industrial applications require control techniques combining simplicity, robustness, and a good performance. In order to achieve this combination, the following infrastructure is proposed; a dual observer is used for our sensorless direct torque control (DTC) of a three-phase squirrel cage induction motor drive (SCIM), combining the adaptive luenberger observer (ALO) based on an intelligent hybrid technique for adaptation mechanism, and the extended Kalman filter (EKF), the first observer estimates the rotor speed while the second estimates the flux components; a proportional integral (PI) anti-windup controller which replaces the conventional speed PI controller; along with an intelligent approach namely artificial neural networks (ANN) based selector table in order to substitute the conventional one. The proposed structure, on one hand optimizes and reduces the torque, stator flux and stator current ripples, and on the other, provides an improved speed response characterized by a fast dynamic response, small overshoot, as well as resistance to disturbances. Simulation results prove the effectiveness and robust performance of the proposed sensorless intelligent strategy in both low and high speeds, direct and reverse directions, with and without applying a load disturbance.
KEYWORDS: - Artificial Neural Networks, Fuzzy Logic, Extended Kalman Filter, Adaptive Luenberger Observer, PI Anti-Windup, Sensorless Direct Torque Control, Induction Motor
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