PROJECT TITLE:

Kalman-Filter-Based Indicator for Online Interturn Short Circuits Detection in Permanent-Magnet Synchronous Generators

ABSTRACT:

Kalman filtering has been largely utilized in adaptive management for motor drive applications. However, few works relate to applications in the sector of monitoring. In this paper, a fault indicator for interturn short circuits detection in permanent-magnet synchronous generators (PMSGs) is introduced. Based mostly on the extended type of the Kalman filter and associated to an appropriate model of PMSG expressed within the $dq$ frame, this indicator has been developed through the identification of parameters specifically introduced to point out stator faults. Special attention has been paid to the indicator sensitivity and its robustness to the generator operation mode, that implies a large range of operating points. The indicator performances are initial evaluated using an acceptable simulation model. A whole experimental campaign has been performed to validate previous simulation results. A faulty PMSG, specifically designed for stator fault experiments, has been associated to a digital signal processor for an online implementation of the proposed indicator. Finally, the difficulty of parameter uncertainties is solved by introducing a variable threshold for detection improvement.


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