JAEST LOGO

Authors

Djamel Taibi MSE Laboratory, University of Biskra, B.P.145, 07000, Biskra, Algeria Author

DOI:

https://doi.org/10.69717/jaest.v1.i2.16

Keywords:

Permanent magnet synchronous machine, Direct filed oriented control, Extended Kalman filter, Estimation

Abstract

This paper presents a sensorless direct field oriented control fed interior permanent magnet synchronous motor (IPMSM) by using a known mathematical tool. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. It is a question of studying the state and measurement noise covariance matrices Q and R on the stability of the Extended Kalman Filter. This last is used for the d, q stator current, mechanical speed, rotor position, stator resistance and the load torque estimation. The simulation tests carried out on Matlab Simulink showed that the matrix R improves much more quality of the estimated states while the matrix Q allows the improvement of the estimation process convergence. 

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Author Biography

  • Djamel Taibi, MSE Laboratory, University of Biskra, B.P.145, 07000, Biskra, Algeria

    Prof. Abdenacer Titaouine
    MSE Laboratory, University of Biskra, B.P.145, 07000, Biskra, Algeria
    E-mail address: titaouin@yahoo.fr

Published

2015-03-03

Issue

Section

Research Paper

How to Cite

Stability analysis of the extended Kalman filter for Permanent Magnet Synchronous Motor . (2015). Journal of Applied Engineering Science & Technology, 1(2). https://doi.org/10.69717/jaest.v1.i2.16