EXAMINATION OF NONLINEAR SYSTEM IDENTIFICATION PARAMETERS OF MODEL SMOKESTACK USING HAMMERSTEIN–WIENER MODEL

Abstract

System identification is simply the estimation of the mathematical model of the building from the input and output vibration data obtained through the structures. Thanks to the predicted mathematical model, the reactions of the building to dynamic effects can be predicted. The use of system identification method in civil engineering area has been increasing and developing in recent years. The reason for this is undoubtedly the high success rate of the system identification method in estimating the mathematical model. It allows civil engineers to make safer designs with the correct estimation of the mathematical model. The aim of this study is to reveal the mathematical model of the model smokestack with the system identification method. There are linear and nonlinear approaches in system identification method. In this study, the method of system identification with nonlinear approach was used. The mathematical models employed in identification are used to the equations of motion, and a nonlinear system identification of model smokestack using Hammerstein–Wiener Model. The most important point in the results obtained from the analysis is the accuracy rate of the mathematical model. Finally, nonlinear system identification of the model smokestack results demonstrated that fit to estimation data was nearly 100 % and it can be concluded that Hammerstein–Wiener system identification method is efficient and accurate in identifying mathematical model of the model smokestack