Estimation of cornering stiffness using ultra-local model and LPV-based observer

被引:0
|
作者
Fenyes, Daniel [1 ]
Hegedus, Tanias
Gaspar, Peter
机构
[1] HUN REN Inst Comp Sci & Control SZTAKI, Kende U 13-17, H-1111 Budapest, Hungary
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 04期
关键词
ultra-local model; observer; lateral dynamics; cornering stiffness; SYSTEMS;
D O I
10.1016/j.ifacol.2024.07.257
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper presents an observer design method for estimating the slips and the cornering stiffness of autonomous road vehicles. As a first step, the dynamical one-wheeled bicycle model is reformulated to express directly the slips of the vehicle. In the second step, a polytopic model-based observer is designed which can deal with the variation of the scheduling parameters (longitudinal velocity, cornering stiffness). In order to eliminate the parameter uncertainty an ultra-local model is applied by which the cornering stiffness is estimated. The effectiveness and the operation of the proposed observer method are demonstrated through a complex scenario in the high-fidelity simulation software, CarMaker. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:437 / 442
页数:6
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