Current sensors gain faults detection and isolation based on an adaptive observer for PMSM drives

Author

Grouz, F. ; Sbita, Lassaad ; Boussak, Mohamed

Author_Institution

Res. unit of Photovoltaic, Wind & Geothermal Syst. (SPEG, ENIG), Univ. of Gabes, Gabes, Tunisia

fYear

2013

fDate

18-21 March 2013

Firstpage

1

Lastpage

6

Abstract

This paper deals with a new method current sensors gain faults detection and isolation (FDI) for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor gain fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current gain fault after detecting the fault occurrence. The validity of the proposed method is verified by simulation tests.

Keywords

electric sensing devices; fault location; observers; permanent magnet motors; stators; synchronous motor drives; FDI; PMSM drives; PMSM sensor faults; actuator faults; adaptive observer; augmented system; current sensor gain; fault detection and isolation; fault occurrence; faulty sensor identification; faulty sensor isolation; logic algorithm; permanent magnet synchronous motor drives; sensor gain fault detection; state variable; stator phase current gain fault; Fault detection; Fault diagnosis; Observers; Sensor systems; Simulation; Stators; PMSM; adaptive observers; current sensors; gain faults detection and isolation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6459-1

Electronic_ISBN

978-1-4673-6458-4

Type

conf

DOI

10.1109/SSD.2013.6564061

Filename

6564061