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Title: Identification of DC motor with parametric methods and artificial neural networks
Authors: Agustín Soto Otálora, Oscar Mauricio Losada, y Junior Francisco Quijano
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2012
Volume: 7
Issue: 7
Language: English
This article contains the development of the identification of model describing the dynamics of a DC motor, the characterization was developed by parametric method sand artificial neural networks, was implemented a card with PIC 18F2550microcontroller in charge of sampling and transmission via the USB feeding cues and motor speed to the computer. LabVIEW 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 with five neurons in the hidden layer.
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