Fault diagnosis in three-phase power inverters using multiple-model kalman filter
Document Type
Conference Proceeding
Publication Date
5-1-2019
Abstract
In this paper, a multiple-model Kalman filter (MMKF) approach is utilized to design fault detection and identification (FDI) filters for three-phase power inverters with L filters. The MMKF approach has the advantage that it can be applied to both linear and nonlinear systems. The MMKF-based FDI filters are designed for inverter component (inductance and resistance) and current sensor faults. Simulation results for a three-phase inverter model verify the effectiveness of the proposed filters.
Identifier
85070977761 (Scopus)
ISBN
[9781538693490]
Publication Title
2019 IEEE International Electric Machines and Drives Conference Iemdc 2019
External Full Text Location
https://doi.org/10.1109/IEMDC.2019.8785372
First Page
907
Last Page
910
Recommended Citation
Mohsen Azizi, S., "Fault diagnosis in three-phase power inverters using multiple-model kalman filter" (2019). Faculty Publications. 7611.
https://digitalcommons.njit.edu/fac_pubs/7611
