A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive

Fatiha Zidani (1) , Demba Diallo (2) , Mohamed Benbouzid (3) , Rachid Naït-Saïd (1)

1 LSPIE - Laboratoire des Systèmes de Propulsion-Induction Electromagnétique
2 LGEP - Laboratoire de génie électrique de Paris
3 LBMS - Laboratoire brestois de mécanique et des systèmes

This paper investigates the use of fuzzy logic for fault detection and diagnosis in a pulsewidth modulation voltage source inverter (PWM-VSI) induction motor drive. The proposed fuzzy technique requires the measurement of the output inverter currents to detect intermittent loss of firing pulses in the inverter power switches. For diagnosis purposes, a localization domain made with seven patterns is built with the stator Concordia current vector. One is dedicated to the healthy domain and the six others to each inverter power switch. The fuzzy bases of the proposed technique are extracted from the current analysis of the fault modes in the PWM-VSI. Experimental results on a 1.5-kW induction motor drive are presented to demonstrate the effectiveness of the proposed fuzzy approach.

Mots clés: Concordia transform; diagnosis; fault detection; fuzzy logic; induction motor; voltage source inverter (VSI)

Domaines: Energie électrique

Fatiha Zidani, Demba Diallo, Mohamed Benbouzid, Rachid Naït-Saïd. A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive. IEEE Transactions on Industrial Electronics, 2008, 55 (2), pp.586-596. ⟨10.1109/TIE.2007.911951⟩. ⟨hal-00524628⟩