Abstract

CEPERO DIAZ, Ariel Omar et al. State estimation of the switching reluctance motor MFR132.5 using an Unscented Kalman Filter. Energética [online]. 2014, vol.35, n.1, pp.79-89. ISSN 1815-5901.

The measure of the instant angular position of the rotor is integral part of the control of Switching Reluctance Motors drivers. The direct measurement of this variable adds complexity and cost to the system and it doesn't give good results sometimes. That has motivated the development and test of algorithms for estimating the rotor angular position of the motor. In this work is presented the use of an Unscented Kalman Filter for estimating the speed and rotor angular position of the motor MFR 132.5, based on a grey box model of the motor which is also presented in this work. The results show that this kind of estimator gives good estimations of the state of the motor, as well during the starting as during the regular operation, even under the presence of perturbations of the load torque and errors in the initial estimation of the angular position.

Keywords : state estimation; unscented Kalman Filter; dynamic models; switched reluctance motors.

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