title: Auto-calibration and -compensation of a capacitive pressure sensor using multilayer perceptrons
abstract: 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 degrees C.
authors.affiliation: Department of Applied Physics, Delft University of Technology, The Netherlands. ejcpatra@ntu.edu.sg
authors.initials: JC
authors.lastname: Patra
authors.lastname: van den Bos A