IDENTIFICATION OF DC MOTOR WITH PARAMETRIC METHODS AND ARTIFICIAL NEURAL NETWORKS

This article contains the identification of model describing the dynamics of a DC motor. The characterization was developed by parametric methods and artificial neural networks; a card was implemented with PIC 18F2550 microcontroller in charge of sampling and transmission via the USB feeding cues an...

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Bibliographic Details
Published in:ARPN journal of engineering and applied sciences 2012-07, Vol.7 (7), p.922-925
Main Authors: Otalora, Agustin Soto, Losada, Oscar Mauricio, Quijano Junior, Francisco
Format: Article
Language:English
Subjects:
Artificial neural networks
Cards
Direct current
Electric motors
Mathematical models
Matlab
Neural networks
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Summary:This article contains the identification of model describing the dynamics of a DC motor. The characterization was developed by parametric methods and artificial neural networks; a card was implemented with PIC 18F2550 microcontroller in charge of sampling and transmission via the USB feeding cues and motor speed to the computer. Lab VIEW program is an interface used to plot and store data sent by the card. Imported into Matlab data stored by the program and the identification Toolbox (System Identification Tool) we find the models ARX, ARMAX, BJ, OE and neural networks use a regressor ARX 111 with a structure of five neurons in the hidden layer.
ISSN:1819-6608
1819-6608