TY  - JOUR
T1  - Feed Forward Back Propagation Artificial Neural Network Based  Faulty Switch Identification of the Three Phase Three Level Converter Based Drive for the Three Phase Induction Motor
AU - , Muthulakshmi 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 13
SP  - 2108
EP  - 2115
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.2108.2115
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.2108.2115
KW  - Uninterrupted Power Supply UPS
KW  -Static Compensator (STATCOM)
KW  -Feed Forward Back Propagation (FFBP)
KW  -type Artificial Neural Network (ANN)
KW  -reactive power compensation
AB  - Three phase induction motors are the work horse in the electrically driven industrial applications. The modern day power electronic control systems have contributed much for the speed, torque and power control schemes of the three phase induction motor drives. In this study, an online faulty switch indication method is designed and demonstrated using simulations in the Matlab/Simulink environment. An experimental verification is also presented that has been developed in the ARM processor LPC 2148. The back propagation feed forward artificial neural network has been the core of the system in identification of the faulty switch based on a pattern mapping scheme considering the current drawn by the motor and the terminal voltage across the motor.
ER  -