An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure
| 27 paź 2017
Data publikacji: 27 paź 2017
Zakres stron: 127 - 138
Otrzymano: 04 maj 2016
Przyjęty: 25 cze 2016
DOI: https://doi.org/10.5277/ped160110
© 2017
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 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.