Real-Time Sensing Channel Modelling Based on an FPGA and Real-Time Controller

This paper presents the concept of reconfigurable sensing channel characteristics inverse model in auto-calibration measurement systems, particularly for water quality measuring systems. The inverse model implementation is supported on an advanced FPGA reconfigurable embedded control and acquisition system (CompactRIO). Model blocks, such as polynomial and neuronal, are on-line updated (reconfigured) in the cRIO real time controller using calibration data while the on-line processing of the measured physical quantities (e.g. water quality quantities: conductivity) are mainly processed by the RIO FPGA core