Current sensor FDI by Generalized Observer Scheme for a generator in wind turbine

Author

Do Hieu Trinh ; Chafouk, Houcine

Author_Institution

Inst. de Rech. en Syst. Electroniques Embarques, ESIGELEC, St. Etienne du Rouvray, France

fYear

2011

fDate

3-5 March 2011

Firstpage

1

Lastpage

6

Abstract

In this paper, we will tackle the problem of current sensor Fault Diagnosis and Isolation (FDI) of a doubly feed induction generator in wind turbine. First of all, the use of a Kalman filter to detect sensor fault will be illustrated. Then, the detection and the isolation of multiple sensor faults will be treated using a Kalman filter bank in a Generalized Observer Scheme. The fault assessment will be performed by the Page-Hinkley´s test. The processus of the FDI will be validated on a real-time test bench.

Keywords

Kalman filters; asynchronous generators; channel bank filters; electric sensing devices; fault diagnosis; observers; power generation control; power generation faults; wind turbines; Kalman filter bank; current sensor FDI; current sensor fault diagnosis and isolation; doubly feed induction generator; generalized observer scheme; page-Hinkley test; wind turbine; Control systems; Induction generators; Kalman filters; Observers; Rotors; Stators; Wind turbines; FDI; GOS; Kalman Filter; Page-Hinkley´s test; Real-time Validation; Wind Turbine;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computing and Control Applications (CCCA), 2011 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4244-9795-9

Type

conf

DOI

10.1109/CCCA.2011.6031478

Filename

6031478