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Simple and robust microcontroller-based acquisition system for differential capacitive sensors
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2021 (English)In: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper (Refereed)
Abstract [en]

Differential capacitive sensors, especially if implemented as MEMS (Micro Electro Mechanical Systems) are a widely employed sensor solution, especially after the widespread adoption of the IoT (Internet of things) paradigm. These sensors target very different applications, including accelerometers, gyroscopes, barometers, just to mention a few, because they can take advantage from lower power consumption, better temperature coefficient and manufacturability. The readout circuit plays a central and fundamental role in ensuring optimal overall performance. In this paper, a frontend for interfacing differential capacitive sensors with microcontroller-based systems is discussed and performance is evaluated. In particular, the use of voltage mode is considered and, consequently, the stray capacitance can deeply affect the readouts. The proposed interface evaluates the mismatch between the current flowing in the two sensor equivalent capacitors and estimates the parasitic value. Additionally, the information about the current unbalance is used to improve the measurand estimation. In particular, the proposed approach is able to decrease of one order of magnitude the measurand estimation error, when large stray capacitance affects the sensor. © 2021 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
AC excitation, Differential capacitive sensors, stray capacitance compensation, synchronous demodulation, Capacitance, Internet of things, MEMS, Microcontrollers, Acquisition systems, Equivalent capacitors, Lower-power consumption, Micro electro mechanical system, Microcontroller based systems, Microcontroller-based, Temperature coefficient, Capacitive sensors
Identifiers
URN: urn:nbn:se:miun:diva-43059DOI: 10.1109/I2MTC50364.2021.9460034Scopus ID: 2-s2.0-85113712086ISBN: 9781728195391 (print)OAI: oai:DiVA.org:miun-43059DiVA, id: diva2:1595656
Note

Export Date: 20 September 2021; Conference Paper; CODEN: CRIIE

Available from: 2021-09-20 Created: 2021-09-20 Last updated: 2021-09-20Bibliographically approved

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Sisinni, Emiliano

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf