Auto-calibration and -compensation of a capacitive pressure sensor using multilayer perceptrons
Patra, Jagdish Chandra
Van den Bos, Adriaan
Date of Issue2000
School of Computer Engineering
Using multilayer perceptrons (MLPs), a smart model for a capacitive pressure sensor (CPS) is proposed. When the ambient temperature changes, the nonlinear response characteristics of a CPS may vary widely. Under such conditions, calibration of the sensor and compensation of the nonlinear sensor characteristics to obtain correct readout becomes a difficult task. The proposed MLP model can provide automatic nonlinear compensation and calibration of the CPS characteristics. 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 full-scale error of ±1% over a variation of temperature from −50 to 150°C.
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
© 2000 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by ISA Transactions, 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/S0019-0578(00)00009-4].