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An ANN-based smart capacitive pressure sensor in dynamic environment

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An ANN-based smart capacitive pressure sensor in dynamic environment

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dc.contributor.author Patra, Jagdish Chandra
dc.contributor.author Bos, Adriaan Van Den
dc.contributor.author Kot, Alex C.
dc.date.accessioned 2011-10-03T08:54:55Z
dc.date.available 2011-10-03T08:54:55Z
dc.date.copyright 2000
dc.date.issued 2011-10-03
dc.identifier.citation Patra, J. C., Bos, A. V. D., & Kot, A. C. (2000). An ANN-based smart capacitive pressure sensor in dynamic environment. Sensors and Actuators A: Physical, 86(1-2), 26-38.
dc.identifier.issn 0924-4247
dc.identifier.uri http://hdl.handle.net/10220/7141
dc.description.abstract A multilayer artificial neural network (ANN) is proposed for modeling of a capacitive pressure sensor (CPS). When the ambient temperature changes over a wide range, the nonlinear response characteristics of a CPS change significantly. In many practical conditions, the effect of temperature on the change in the CPS characteristics may be nonlinear. The proposed ANN model can provide correct readout of the applied pressure under such conditions. A novel scheme for estimation of the ambient temperature from the sensor characteristics itself is proposed. A second ANN is utilized to estimate the ambient temperature from the knowledge of the offset capacitance, i.e., the zero-pressure capacitance. A microcontroller unit (MCU)-based implementation scheme for this model is also considered. Simulation results show that this model can estimate the pressure with a maximum error of ±2% over a wide variation of temperature from −50°C to 150°C.
dc.format.extent 13 p.
dc.language.iso en
dc.relation.ispartofseries Sensors and actuators A: physical
dc.rights © 2000 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Sensors and Actuators A: Physical, Elsevier.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at DOI: http://dx.doi.org/10.1016/S0924-4247(00)00360-5.
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation.
dc.title An ANN-based smart capacitive pressure sensor in dynamic environment
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1016/S0924-4247(00)00360-5
dc.description.version Accepted version
dc.identifier.rims 121257

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