Design and experimental validation of fault diagnosis and fault tolerant control in PMSG drives for wind energy conversion systems

This study explores a method for detecting and isolating faults in wind power conversion systems that use a permanent magnet synchronous generator (PMSG). The goal is to enhance the reliability of the inverter by implementing an fault detection method and fault-tolerant control. The converter incorporates an extra leg with two switches that can be quickly connected in place of a malfunctioning leg, ensuring continued operation. Our fault detection and isolation module employs a threshold-based approach, utilizing real-time signal measurements to identify anomalies exceeding predefined limits. The experimental validation of this module is conducted on a high-performance dSpace DS1104 controller board using MATLAB Simulink. Finally, a real-world experiment was conducted to confirm the effectiveness of the proposed fault detection and isolation (FDI) algorithm. The results successfully demonstrated the algorithm's ability to detect and isolate switch faults.