An artificial neural networks approach to stator current sensor faults detection for DTC-SVM structure

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 obtained in direct torque control algorithm (DTC-SVM) and performed in MATLAB/SimPowerSystem software.