Title :
Sliding mode observer-based fault-detection of inter-turn short-circuit in induction motor
Author :
Sellami, T. ; Berriri, H. ; Jelassi, S. ; Mimouni, M.F.
Author_Institution :
Electr. Eng. Dept., Res. Unit of Study of Ind. Syst. & Renewable Energy, Eng. Sch. of Monastir (ENIM), Monastir, Tunisia
Abstract :
The paper deals with fault detection (FD) of interturn short-circuit in stator windings (SF) in three-phase squirrel-cage induction motors (IM) based on sliding mode observers (SMO). Theoretical developments of both healthy and faulty IM models in the abc-reference frame highlight the impact of such fault. IM modeling in αβ-frame is investigated in order to reconstruct current and speed IM using first-order SMO. A comparison of the actual behavior of IM and the expected behavior given by SMO produces a set of residuals sensitive to faults, which are compared to defined thresholds. Simulation results carried out under MATLAB/Simulink show effectiveness of first-order SMO based-on algorithm to detect the SF.
Keywords :
fault diagnosis; machine control; observers; short-circuit currents; squirrel cage motors; stators; variable structure systems; αβ-frame; MATLAB-Simulink; abc-reference frame; first-order sliding mode observers; induction motor; induction motors models; inter-turn short-circuit; sliding mode observer-based fault-detection; stator windings; theoretical developments; three-phase squirrel-cage induction motors; Circuit faults; Insulation; Observers; Radio frequency; Resistance; Stator windings; fault detection; induction motor; modeling; sliding mode observers; stator inter-turn short-circuit;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2953-5
DOI :
10.1109/STA.2013.6783182
