Skip to main content

An FPGA correlator for continuous real-time measurement of particulate flow

Lee, Peter and Adefila, Kehinde and Yan, Yong (2012) An FPGA correlator for continuous real-time measurement of particulate flow. In: 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. IEEE, Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International, pp. 2183-2186. ISBN 978-1-4577-1773-4. E-ISBN 978-1-4577-1772-7. (doi:10.1109/I2MTC.2012.6229664) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/I2MTC.2012.6229664

Abstract

This paper describes an FPGA based system for monitoring the flow rate of pneumatically conveyed particulates by calculating the cross-correlation of signals generated by a pair of electrostatic sensors embedded in a pipeline. The architecture is capable of calculating a delay in the range of 0 to 20.48 ms with a resolution of 20.48 ?s at the sampling rate of 48.8 kHz. The circuit is implemented using a Xilinx Spartan3 device operating at a frequency of 50 MHz and uses a novel logarithmic based arithmetic circuit for calculating normalized cross-correlation data at a rate 1000x higher than previously published microcontroller based solutions. The architecture is easily extensible to accommodate systems with more than 2 sensing elements and can operate at higher sampling rates as required. The current system uses just 12 multipliers, 12 BRAMS and 34% of the logic resources available on a XC3S700A device.

Item Type: Book section
DOI/Identification number: 10.1109/I2MTC.2012.6229664
Uncontrolled keywords: field programmable gate arrays; correlation; delay; electrostatics; sensor arrays
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 18 Oct 2013 13:12 UTC
Last Modified: 02 Jul 2019 13:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35520 (The current URI for this page, for reference purposes)
  • Depositors only (login required):