Transient Detection of Rotor Asymmetries in Squirrel-Cage Induction Motors Using a Model-Based Tacholess Order Tracking - La Rochelle Université Accéder directement au contenu
Article Dans Une Revue Sensors Année : 2022

Transient Detection of Rotor Asymmetries in Squirrel-Cage Induction Motors Using a Model-Based Tacholess Order Tracking

Résumé

In this article, we propose to determine the dynamic model of a squirrel-cage induction motor from a reduced amount of information. An adaptive observer is also built from this model in order to obtain a speed estimation and to perform rotor fault monitoring by Tacholess Order Tracking (TOT). We also propose a generalization of the notion of angular sampling in order to adapt to this type of defect. The procedure is validated in the laboratory on a test bench dedicated to the study of rotor bar defects.

Dates et versions

hal-03656439 , version 1 (02-05-2022)

Identifiants

Citer

Erik Etien, Thierry Doget, Laurent Rambault, Sebastien Cauet, Anas Sakout, et al.. Transient Detection of Rotor Asymmetries in Squirrel-Cage Induction Motors Using a Model-Based Tacholess Order Tracking. Sensors, 2022, 22 (9), pp.3371. ⟨10.3390/s22093371⟩. ⟨hal-03656439⟩
25 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More