Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
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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
Muthulakshmi
Page: 2108-2115 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
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.
How to cite this article:
Muthulakshmi . 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.
DOI: https://doi.org/10.36478/ajit.2016.2108.2115
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.2108.2115