Novel Fuzzy-Based Open-Switch Fault Detection Scheme of Voltage Source Inverter Induction Motor Drive

Abstract

This article proposes a novel real-time fault diagnosis approach for open-switch faults of three-phase pulsewidth modulated voltage source inverter induction motor drive system. The diagnosis method relies only on the observed current via processing the extracted dc components and current absolutes using dynamic resonant filters (DRFs). By employing the ratio between the extracted dc components along with the dc component of absolute line currents and absolute line currents sum, 33 different types of faults can be detected and discriminated effectively. A fuzzy logic-based subsystem is dedicated to accurate reporting of different fault scenarios and manipulating the detection delay caused by the extracted dc component oscillation introduced by the DRFs. The proposed approach is parameter-free, fast, reluctant to noise presence, applicable for a wide range of switching frequencies, and independent of load-level or transient variations. Besides, it is suitable for any type of control technique either open or closed loop without any excessive sensors. Extensive experimental and time-domain investigations are examined, and the obtained results reveal the effectiveness of the proposed fault detection method.