DocumentCode
1768317
Title
EKF-based fault detection and isolation for PMSM driver inverter
Author
Dan Luo ; Sang Man Seong
Author_Institution
Dept. of Mechatron. Eng., Korea Univ. of Technol. & Educ., Cheonan, South Korea
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
1152
Lastpage
1157
Abstract
This paper deals with a new method PMSM driver inverter faults detection and isolation based on EKF (Extended Kalman Filter). Firstly, a nonlinear model of PMSM diver where the on resistance of inverter FET is included as state variable is derived. Secondly, the method to detect and isolate inverter fault from the estimated on resistance is presented. Finally, the usefulness of the proposed scheme is verified by simulation results.
Keywords
Kalman filters; fault diagnosis; invertors; nonlinear filters; permanent magnet motors; synchronous motor drives; EKF based fault detection; PMSM driver inverter; extended Kalman filter; fault isolation; inverter faults detection; nonlinear model; permanent magnet motor; synchronous motor; Couplings; Logic gates; Reliability; Sensors; Space vector pulse width modulation; Switches; Vectors; Extended Kalman Filter (EKF); PMSM; faults detection and isolation; inverter; on resistance;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location
Seoul
ISSN
2093-7121
Print_ISBN
978-8-9932-1506-9
Type
conf
DOI
10.1109/ICCAS.2014.6987733
Filename
6987733
Link To Document