<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive system. The systems with different learning algorithms and structures are analyzed and tested in different drive conditions. Simulation results are ob-tained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSystem software.</p></abstract>

In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive system. The systems with different learning algorithms and structures are analyzed and tested in different drive conditions. Simulation results are ob-tained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSystem software.

An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In the paper, an analysis is made of the stator current sensor fault detector based on artificial neural network for vector controlled induction motor drive...

An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure

Online veröffentlicht: 27. Okt. 2017

Seitenbereich: 127 - 138

Eingereicht: 04. Mai 2016

Akzeptiert: 25. Juni 2016

DOI: https://doi.org/10.5277/ped160110

© 2017

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.