A DSIM control using artificial neural network controller
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Date
2021
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University of Oum El Bouaghi
Abstract
This paper presents a vector control indirect (IFOC) of double –star induction machine (DSIM ) based on artificial neural network (ANN). Double star
induction machine are used in high-power applications because they are characterized by efficiency and their ability to power splitting. The objective of this work is the comparison between the CVI indirect vector control with the PI regulator and the CVI indirect vector control with the artificial neural network regulator (ANN) MULTI-LAYER (MLP) found us that the tuning by the neural networks is good and robust in comparison of the PI. Simulation results through MATLAB/Simulink are using for both controls, the results obtained showed a very satisfactory behavior of this machine.
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Keywords
IFOC : Vector control indirect ; DSIM : doubly stator induction machine ; ANN : Artificial neural network