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

• Autorzy: Klimkowski K.

Identyfikatory

DOI

10.5277/PED160110

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

DTC-SVM; current sensor; induction motor; detector; fault tolerant drive; neural network

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2016
• Tom: Vol. 1 (36), No. 1
• Strony: 127--138
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Klimkowski K.

• Wrocław University of Technology, Department of Electrical Machines, Drives and Measurements, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

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