Full-Analog Parasitic Capacitance Compensation for AC-Excited Differential SensorsShow others and affiliations
2020 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 69, no 8, p. 5890-5899, article id 8948410Article in journal (Refereed) Published
Abstract [en]
Capacitive sensors are popular, especially due to the possibility to be integrated together with the readout circuit. In particular, differential implementations are intrinsically insensitive to common-mode noise. Unfortunately, stray capacitances can significantly alter the sensor output value, worsening the performance. This article proposes a novel solution based on an autotuning feedback loop to compensate for parasitic effects, thus preserving measurement performance. In particular, a voltage-controlled negative impedance converter is driven by a feedback loop, in order to control the current flowing in the sensor. The proposed solution can work with the both linear and hyperbolic type of sensors and with any voltage-mode sensor interfaces. An experimental setup, comprising the proposed compensating circuit, a De-Sauty bridge-based sensor front end and an emulated sensor, has been arranged to evaluate obtainable performance. Results show that the linearity error is decreased from more than 10%, without compensation, to less than 1%, when the proposed system is applied. © 1963-2012 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. Vol. 69, no 8, p. 5890-5899, article id 8948410
Keywords [en]
Analog circuits, differential capacitive sensor, negative impedance converter (NIC), parasitic capacitance compensation, Capacitance, Capacitive sensors, Error compensation, Common mode noise, Compensating circuits, Differential sensors, Linearity errors, Parasitic capacitance, Read-out circuit, Stray capacitances, Voltage-controlled, Feedback
Identifiers
URN: urn:nbn:se:miun:diva-41503DOI: 10.1109/TIM.2019.2962296ISI: 000544124500059Scopus ID: 2-s2.0-85088105323OAI: oai:DiVA.org:miun-41503DiVA, id: diva2:1536329
2021-03-102021-03-102021-04-28Bibliographically approved