Open switch fault detection and localization of a three-phase permanent magnet synchronous machine using fuzzy logic

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Date

2023

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Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE)

Abstract

Power electronic systems are considered as one of the most critical components in many applications, such as nuclear reactors. In such cases, the system must be extremely reliable like Permanent Magnet Synchronous Motors (PMSMs). The report begins with an overview of PMSM types and variable frequency drives followed by proofreader explanation of faults that may occur in this type of motors .The modeling of PMSM is the work's core contribution. Starting first with a sufficient investigation into the steady-state and dynamic properties of PMSM in both stationary and rotating frames, followed by a discussion of switching states in a three-phase inverter along with Space vector pulse width modulation, Furthermore, in order to attain higher dynamic performance, a more advanced control method known as field oriented control (FOC) must be utilized to regulate the PM motor. At the last part of the report, fault diagnostic and detection of our motor is controlled using fuzzy logic approach, and promising results were obtained in simulation on MATLAB/Simulink.

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61 p.

Keywords

Fuzzy logic, Fault detection, Permanent magnet synchronous machine (PMSM), PM motor : Fault detection

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