Title :
Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system
Author :
Rub?n A. Zapat?n;Pablo M. L?cero;Eduardo E. Armijos;Jonathan Coronel;Diego R. Cabrera
Abstract :
In this paper the implementation of a virtual sensor is presented, using an artificial neural network (ANN) in an FPGA system, which will serve to estimate the speed of a DC motor. The acquisition and processing of signals RNA training and detailed architecture implemented in the FPGA is shown. Finally the behavior of the virtual sensor is analyzed in normal and abnormal operating conditions.
Keywords :
"Artificial neural networks","Training","Neurons","Biological neural networks","Field programmable gate arrays","DC motors","Correlation coefficient"
Conference_Titel :
Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
DOI :
10.1109/Chilecon.2015.7404684
