System identification for steam distillation pilot plant: Comparison between linear and nonlinear models

This paper is proposed to model the steam temperature in steam distillation pilot plant using system identification. Random Gaussian Signal (RGS) has been implemented to this system to perturb the input of the system. The linear and nonlinear Auto Regressive with Exogenous input (ARX) models structure is used to estimate and validate the model output of steam distillation pilot plant. Both models will be compared to study the performance and flexibility. The validation test is performed by using auto-correlation function (ACF), cross-correlation function (CCF) and model fit to validate the estimated both ARX models.