Authors:
Eltabach Mario
1
and
Charara Ali
2
Affiliations:
1
Université Saint-Esprit de Kaslik, USEK Faculté des sciences et de génie informatique, Lebanon
;
2
HEUDIASYC UMR 6599; Université de Technologie de Compiègne, France
Keyword(s):
Diagnosis, control, supervision systems, Observers, signature analysis, Induction motors.
Related
Ontology
Subjects/Areas/Topics:
Control and Supervision Systems
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
Abstract:
One of the most important issues when implementing control and fault diagnosis systems for induction motor drives is obtaining accurate information about the state of certain motor electromagnetic signals such as stator flux and electromagnetic torque. This paper examines the detection of rotor imperfections through spectral analysis of the electromagnetic torque, computed by three stator flux estimators, and using only non-invasive sensors such as current and voltage sensors. The variable structure observer, the extended Luenberger observer (ELO) and extended Kalman filter (EKF) are used to estimate flux components without resorting to the use of intrusive speed sensors. The aim of this paper is to make a comparison and a classification between these approaches. Experimental results demonstrate the significant potential of these methods in detecting these types of faults.