Online Detection and Compensation of Sensor-Faults in Electric Drives for Automotive Applications

In this thesis, methods for online detection and compensation of sensor faults for interior permanent magnet machine (IPM)-drives are developed. Position sensor outage, as well as current sensor gain faults including the case of current sensor outage, are addressed. Model-based methodologies are developed, allowing for fault-detection and fault-compensation without the requirement of auxiliary hardware alongside the already existing devices. Practical testings are conducted on a general-purpose IPM-drive representing an automotive application. Each method for fault-compensation discussed in this thesis is assessed based on a predefined set of requirements, concluding in aspects and potentials for future optimizations.