Title :
EKF-based fault detection and isolation for FET of induction motor inverter
Author :
Jang Ho Won; SangManSeong
Author_Institution :
Department of Mechatronics Engineering, The Graduate School of Korea University of Technology and Education, 1600 Chungjeolno, Byeongchunmyun, Cheonan, Chungnam, Korea
Abstract :
This paper proposed a new approach to detect and isolate the faults of FET in induction motor inverter based on EKF(Extended Kalman Filter). The main idea of this paper is that by estimating the variations of on resistance, we can detect fault of FET of motor inverter. In this paper, the induction motor inverter is considered. A model of induction machine driver which include the on resistance of inverter FET as state variable is derived. Since the derived model is nonlinear, the EKF is used to estimate the on resistance and other state variables. The Matlab simulation results show that the proposed method can detect and isolate the faults in FETs.
Keywords :
"Inverters","Pulse width modulation","Field effect transistors","Induction motors","Robustness","Control systems","Safety"
Conference_Titel :
Control, Automation and Systems (ICCAS), 2015 15th International Conference on
DOI :
10.1109/ICCAS.2015.7364894