Experimental sensorless vector control performance of a DFIG based on an extended Kalman filter

Author

Perez, I.R. ; Silva, J.C. ; Yuz, E.J. ; Carrasco, R.G.

Author_Institution

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

fYear

2012

fDate

25-28 Oct. 2012

Firstpage

1786

Lastpage

1792

Abstract

Doubly fed induction generators (DFIGs) are used in variable speed wind energy conversion systems. Field oriented control (FOC) of this type of generators requires the availability of a rotor position measurement or estimation. Hence, for sensorless implementations, rotor position observers have to be integrated to the control algorithm. In this paper, the observability of the DFIG is analyzed and an extended Kalman filter (EKF) is proposed as rotor position observer. The performance of the EKF is verified experimentally in a 4[kW] prototype.

Keywords

Kalman filters; asynchronous generators; nonlinear filters; position measurement; sensorless machine control; DFIG; EKF; FOC; doubly fed induction generators; extended Kalman filter; field oriented control; power 4 kW; rotor position measurement; sensorless vector control performance; variable speed wind energy conversion systems; Adaptation models; Lead; Rotors;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Conference_Location

Montreal, QC

ISSN

1553-572X

Print_ISBN

978-1-4673-2419-9

Electronic_ISBN

1553-572X

Type

conf

DOI

10.1109/IECON.2012.6388930

Filename

6388930