Modelling of heat exchanger using recursive least square (RLS)

Heat exchanger is a heat transfer device that is used to transfer thermal energy between two or more fluids available at different temperature. Modelling of heat exchanger helps to understand process that occurs during the operation. In order to understand it, a precise model definitely needed to be construct. The primary objective of this study is to develop a structural model of heat exchanger using Auto-regressive model with exogenous variables (ARX) model. In this study, data from heat exchanger experiment was used to determine the parameter of ARX equation. Using RLS algorithm, ARX parameters are optimized. Hence, the transfer function represents the plant for modelling. Validation test of autocorrelation and cross-correlation were used to validate between normalised data input and error. Based on the result on the second order model, A’s values are -0.2397 and 0.0691 while B’s values are -0.0381 and 0.0111 respectively. From validation test, all graphs are within the 95 percent of confident line.