Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar
Hicham Talhaoui1, Arezki Menacer2, Abdelhalim Kessal3
1LGEB Laboratory, University of Biskra, Algeria; University of Bordj Bou Arreridj, Algeria.
Abstract:
This paper presents new techniques to evaluate faults in case of broken rotor bars of induction motors. Procedures are applied with closed-loop control. Electrical and mechanical variables are treated using fast Fourier transform (FFT), and discrete wavelet transform (DWT) at start-up and steady state. The wavelet transform has proven to be an excellent mathematical tool for the detection of the faults particularly broken rotor bars type. As a performance, DWT can provide a local representation of the non-stationary current signals for the healthy machine and with fault. For sensorless control, a Luenberger observer is applied; the estimation rotor speed is analyzed; the effect of the faults in the speed pulsation is compensated; a quadratic current appears and used for fault detection.
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