An Extender Kalman Filter-based Induction Machines Faults Detection

Abdelghani Chahmi (1) , Mokhtar Bendjebbar (1) , Bertrand Raison (2) , Mohamed Benbouzid (3)

1 USTO MB - Université des sciences et de la Technologie d'Oran Mohamed Boudiaf [Oran]
2 G2ELab - Laboratoire de Génie Electrique de Grenoble
3 IRDL - Institut de Recherche Dupuy de Lôme

–The purpose of this thesis is to provide solutions for the fault detection and isolation in electrical drives and especially induction drives. The considered faults may affect the machine, the converter, the mechanical part and the sensors. The variable speed drive is controlled by a rotor flux vector control loop and a speed loop. Using the results of the fault characterization, obtained from simulations, two approaches are proposed. The first one is based on signal processing tools. The second approach is based on analytical redundancy tools for fault detection and localization purpose. Extended state observers (Extended Kalman Filter)

Mots clés: InductionMotor; Modeling; RotorDefect; Stator Defect; ExtendedKalmanFilter

Domaines: Sciences de l'ingénieur [physics]

Abdelghani Chahmi, Mokhtar Bendjebbar, Bertrand Raison, Mohamed Benbouzid. An Extender Kalman Filter-based Induction Machines Faults Detection. International Journal of Electrical and Computer Engineering, 2016, 6, pp.535 - 535. ⟨10.11591/ijece.v6i2.9387⟩. ⟨hal-01377294⟩