An ANN-based smart capacitive pressure sensor in dynamic environment
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 ch...
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sg-ntu-dr.10356-942752020-05-28T07:17:17Z An ANN-based smart capacitive pressure sensor in dynamic environment Kot, Alex Chichung Patra, Jagdish Chandra Bos, Adriaan Van Den School of Computer Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation 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. Accepted version 2011-10-03T08:54:55Z 2019-12-06T18:53:36Z 2011-10-03T08:54:55Z 2019-12-06T18:53:36Z 2000 2000 Journal Article 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. 0924-4247 https://hdl.handle.net/10356/94275 http://hdl.handle.net/10220/7141 10.1016/S0924-4247(00)00360-5 121257 en Sensors and actuators A: physical © 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. 13 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Kot, Alex Chichung Patra, Jagdish Chandra Bos, Adriaan Van Den An ANN-based smart capacitive pressure sensor in dynamic environment |
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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. |
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School of Computer Engineering |
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School of Computer Engineering Kot, Alex Chichung Patra, Jagdish Chandra Bos, Adriaan Van Den |
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Article |
author |
Kot, Alex Chichung Patra, Jagdish Chandra Bos, Adriaan Van Den |
author_sort |
Kot, Alex Chichung |
title |
An ANN-based smart capacitive pressure sensor in dynamic environment |
title_short |
An ANN-based smart capacitive pressure sensor in dynamic environment |
title_full |
An ANN-based smart capacitive pressure sensor in dynamic environment |
title_fullStr |
An ANN-based smart capacitive pressure sensor in dynamic environment |
title_full_unstemmed |
An ANN-based smart capacitive pressure sensor in dynamic environment |
title_sort |
ann-based smart capacitive pressure sensor in dynamic environment |
publishDate |
2011 |
url |
https://hdl.handle.net/10356/94275 http://hdl.handle.net/10220/7141 |
_version_ |
1681058273322598400 |