Fusing Physical Process Models with Measurement Data Using FIR Calibration

Abstract

Tuning of physical plant models is considered in the context of monitoring and control of industrial processes. The problem of calibrating physical models is discussed. A method is proposed, consisting extending the physical model with finite impulse response (FIR) filters at the output. The approach is illustrated in extensive simulations and applied in state estimation using a nonlinear chemical continuous stirred tank reactor benchmark.