Surface Vehicle Modelling via System Identification

In this study, ofa surface vehiele modelling has been done via system identification. Knowing the simple mathematical model of surface vehicles is Important to express how system variables interact with each other. A nonlinear mathematical model of the surface vehicle is used for the system Identifi...

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Bibliographic Details
Published in:	2021 Innovations in Intelligent Systems and Applications Conference (ASYU) pp. 1 - 6
Main Authors:	Cantekin, Recep Fatih, Erol, Berna, Kartal, Seda Karadeniz, Hacioglu, Rifat, Belge, Egernen, Gormus, Kurtulus Sedar, Kutoglu, Senol Hakan, Leblebicioglu, M. Kemal
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06-10-2021
Subjects:	auto regressive moving average with exogenous input auto regressive with exogenous input Autoregressive processes Data models Mathematical models Matlab output error surface vehicle System identification Technological innovation Testing
Online Access:	Get full text
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Summary:	In this study, ofa surface vehiele modelling has been done via system identification. Knowing the simple mathematical model of surface vehicles is Important to express how system variables interact with each other. A nonlinear mathematical model of the surface vehicle is used for the system Identification study. The input-output data of the system are obtained from the mathematical model. With the obtained input-output data, the parametric method, exogenous input autoregressive, exogenous input autoregressive moving average and output error system identification approaches are used. With these methods, motion of the vehicle for the circular route and the Infinite route Is analyzed comparatively. Output error model structure gives the best results for system Identfieatlon testing of surface vehicle. The application of the system identification test of the surface vehicle whose mathematical model is obtained, for the circulate route and the infinite route Is the eontributlon of this study. The predicted mathematical model is considered to be correct since two different routes given with the system identification approaches are foUowedsuccessfuUy.AUthe study is done tu MATLAB/Simulink environment.
DOI:	10.1109/ASYU52992.2021.9599018