Comparison of various Wiener model identification approach in modelling nonlinear process

Abstract

An accurate and simple model is essential to implement a model based controller. Wiener model is one of the simplest nonlinear models that can represent any nonlinear process. However, in Wiener Model development, there are several identification approaches available and need to be selected to produce the most accurate model. In this work, the nonlinear - linear approach, the linear - nonlinear approach, and the simultaneous approach are compared in identification of the Wiener model for nonlinear pH neutralization process. The parameters of linear block and the inverse of nonlinear block were obtained from several sets of data that are generated. These approaches are then compared in terms of model accuracy, calculation time, data requirement, and their flexibility.