State and Resistance Estimation in Sensorless FOC Induction Motor Drive Using a Reduced Order Unscented Kalman Filter

Author

Dominguez, P.A. ; Silva, C.A. ; Yuz, Juan I.

Author_Institution

Dept. de Ing. Electron., Univ. Tec. Federico Santa Maria, Valparaiso, Chile

fYear

2012

fDate

7-9 Nov. 2012

Firstpage

171

Lastpage

174

Abstract

In this paper, an unscented Kalman filter is proposed for state and parameter estimation on a speed sensor less field-oriented control of an induction motor. The stator resistance is estimated as part of the state to improve the robutness of the flux estimate, at the expense of leading to a highly nonlinear model. Additionally to reduce the computational load the filter is implemented as a reduced order observer, estimating only the non-measured state variables.

Keywords

angular velocity control; induction motor drives; machine vector control; nonlinear control systems; observers; sensorless machine control; nonlinear model; nonmeasured state variable estimation; reduced order observer; reduced order unscented Kalman filter; resistance estimation; sensorless FOC induction motor drive; speed sensorless field-oriented control; state estimation; Covariance matrix; Kalman filters; Load modeling; Observers; Resistance; Stators; induction machine; unscented Kalman filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Andean Region International Conference (ANDESCON), 2012 VI

Conference_Location

Cuenca

Print_ISBN

978-1-4673-4427-2

Type

conf

DOI

10.1109/Andescon.2012.47

Filename

6424144