PSO-based autocalibration for differential pressure level sensor

To achieve desired level of accuracy in piezoresistive pressure sensors based on silicon, calibration should be performed frequently. In this paper, an Intelligent autocalibration approach is proposed to update characterization curve in differential pressure-based level sensor. This intelligent method is based on particle swarm optimization method. To achieve optimum results, different factors such as selfknowledge and social knowledge coefficients in addition to inertia weight have been considered in this intelligent autocalibration method. The compensation process is the last part of the system. It leads to achieve the up bounded measurement error becomes limited to 0.25 mm.