Fuzzy Logic Speed Control for Sensorless Indirect Field Oriented of Induction Motor Using an Extended Kalman Filter

A. Bennassar(1*), A. Abbou(2), M. Akherraz(3)

(1) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(2) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(3) LEEP, Electric Engineering Department, Mohammed V University, Mohammadia School’s of engineers, Rabat, Morocco
(*) Corresponding author


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Abstract


In this paper, we present the speed sensorless of indirect field oriented control (IFOC) of induction motor (IM). The speed estimator has been designed using extended Kalman filter technique (EKF). According to this method, the rotor speed is obtained from the directly measurable stator voltages and currents. A fuzzy logic controller (FLC) used for the speed and sliding mode controllers (SMC) used for stator currents control to allow a good performance and robustness against the load disturbances. Simulation results are illustrated and demonstrate the effectiveness of the proposed strategy.
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Keywords


Speed Sensorless; Indirect Field Oriented Control; Induction Motor; Extended Kalman Filter; Fuzzy Logic Control; Sliding Mode Control

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References


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