Developing a suitable nonlinear model is the most challenging problem in the application of nonlinear model based controllers\nto distillation column. Hammerstein model consists of a nonlinear static element described by wavenet based nonlinear function,\nfollowed by a linear dynamic element described by the Output Error(OE) model was used in this study to represent the nonlinear\ndynamics of the distillation column. The model parameters were identified using iterative prediction-error minimization method.\nThe model validation results proved that the Hammerstein model was capable of capturing the nonlinear dynamics of distillation\ncolumn.
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