Lateral dynamics of a SUV on deformable surfaces by system identification. Part II. Models reconstruction

International Automotive Conference 2018

Pytka, J.^1

Lublin University of Technology, Mechanical Engineering Department, Nadbystrzycka 36, Lublin

20-618, Poland^1

关键词: Auto regressive models;    Deformable surfaces;    Human drivers;    Lateral dynamics;    Sport utility vehicles;    Steering robots;    System identification methods;    Test vehicle;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/421/2/022029/pdf
DOI  :  10.1088/1757-899X/421/2/022029

来源: IOP

【 摘 要 】

The paper presents results of a study on lateral dynamics of a 1.6 tonne Sport Utility Vehicle SUV on deformable surfaces performed by means of system identification method. Based on the results of the identification experiment, described in the first part of this study, autoregressive models have been reconstructed from the experimentally obtained data and the fit of the models output to the results of the experiments has also been determined. Results show that autoregressive models, being simple, are useful for lateral dynamics of the test vehicle running on three different deformable surfaces: loess and sandy soils and wet snow. It was noticed the fit between the simulation and experimental results vary from 15 to 90% for various types of models applied to the data. It was also concluded the open-loop test method supported with the use of a steering robot instead of a human driver can be very useful, mainly due to high repeatability of manoeuvre in the tests.