Differential pressure transmitter based on programmable system-on-chip (PSoC)

Igor S. Nadezhdin, Aleksey G. Goryunov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Differential pressure is an important technological parameter, one urgent task of which is control and measurement. To date, the lion's share of research in this area has focused on the development and improvement of differential pressure transmitters. This study builds on the literature in its aim to develop a differential pressure transmitter with improved operational and metrological characteristics. The measuring unit of the developed pressure transmitter is based on two strain gauge sensors. To achieve the stated aim, modern methods and technologies were used in the development of the electronics unit of the pressure transmitter. The Programmable System-on-Chip (PSoC) technology was used to develop the electronics unit. Due to the use of PSoC technology, it was possible to increase the noise immunity of the developed differential pressure transmitter, as well as provide an unparalleled combination of flexibility, integration analog and digital functionality.

Original languageEnglish
Title of host publication2019 13th International Conference on Sensing Technology, ICST 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728146317
DOIs
Publication statusPublished - Dec 2019
Event13th International Conference on Sensing Technology, ICST 2019 - Sydney, Australia
Duration: 2 Dec 20194 Dec 2019

Publication series

NameProceedings of the International Conference on Sensing Technology, ICST
Volume2019-December
ISSN (Print)2156-8065
ISSN (Electronic)2156-8073

Conference

Conference13th International Conference on Sensing Technology, ICST 2019
CountryAustralia
CitySydney
Period2.12.194.12.19

Keywords

  • Differential pressure
  • Mathematical model
  • Programmable system-on-chip
  • Sensor
  • Strain gauge

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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