A DSIM control using artificial neural network controller

dc.contributor.authorHamdi, Naouel
dc.contributor.authorOurzifi, Ouafa
dc.date.accessioned2025-04-20T15:33:41Z
dc.date.available2025-04-20T15:33:41Z
dc.date.issued2021
dc.description.abstractThis 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.
dc.identifier.urihttp://dspace.univ-oeb.dz:4000/handle/123456789/21902
dc.language.isoen
dc.publisherUniversity of Oum El Bouaghi
dc.subjectIFOC : Vector control indirect ; DSIM : doubly stator induction machine ; ANN : Artificial neural network
dc.titleA DSIM control using artificial neural network controller
dc.typeArticle
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