Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system

Ruben A. Zapatan, Pablo M. Lucero, Eduardo E. Armijos, Jonathan Coronel, Diego R. Cabrera

Research output: Contribution to conferencePaper

Abstract

© 2015 IEEE. 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.
Original languageEnglish (US)
Pages931-935
Number of pages5
DOIs
StatePublished - 4 Feb 2016
EventCHILECON 2015 - 2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, Proceedings of IEEE Chilecon 2015 - Santiago, Chile
Duration: 28 Oct 201530 Oct 2015

Conference

ConferenceCHILECON 2015 - 2015 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies, Proceedings of IEEE Chilecon 2015
Abbreviated titleCHILECON 2015
Country/TerritoryChile
CitySantiago
Period28/10/1530/10/15

Fingerprint

Dive into the research topics of 'Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system'. Together they form a unique fingerprint.

Cite this