Extended Kalman Filter for High performances Sensorless Induction Motor drive
Authors:
- L. Et-TaajLEL. Et-Taaj
- Z. BoulghasoulZBZ. Boulghasoul
- A. ElkharkiAEA. Elkharki
- Z. KandoussiZKZ. Kandoussi
- A. ElbachaAEA. Elbacha
- 1 April 2019
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-8
Abstract
This paper deals with sensolress induction machine (IM) based on Extended Kalman Filter(EKF) for sensorless speed and stator resistance estimation using measured stator currents, stator voltages and estimated fluxes. As known, the use of a speed sensor to obtain speed, the rotor position or both increase highly sensitivity to electromagnetic noise and system complexity. The extended Kalman filter gives very high performances for the estimation of the speed at very low speed even with noises, thanks to two matrices Q and R which guarantee convergences of the speed and the stator resistance. Performances of the proposed EKF have been validated through Hardware implementation using Matlab/Simulink and dSPACE system with DS1104 controller board. The obtained results confirm very satisfying performances of the introduced EKF algorithm in term of dynamic performance.Keywords
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