An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure
By: Kamil Klimkowski
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.
Language: English
Page range: 127 - 138
Submitted on: May 4, 2016
Accepted on: Jun 25, 2016
Published on: Oct 27, 2017
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2017 Kamil Klimkowski, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.