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
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;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9932-1506-9
DOI :
10.1109/ICCAS.2014.6987733
