Comprehensive Benchmarking Study of Various Non-linear State Estimators for Vehicle Sideslip Angle Estimation

被引:0
作者
Atheupe, Gael P. [1 ,2 ]
Gurjar, Bhagyashri [3 ]
Kongue, Gordan [4 ]
Tapus, Adriana [4 ]
Monsuez, Bruno [4 ]
机构
[1] Renault Grp, F-78280 Guyancourt, France
[2] IP Paris, F-78280 Guyancourt, France
[3] Indian Inst Technol, Main Gate Rd,IIT Area, Mumbai 400076, Maharashtra, India
[4] Inst Polytech Paris IP Paris, Comp Sci & Syst Engn Lab U2IS, ENSTA Paris, 828 Blvd Marechaux, F-91120 Palaiseau, France
来源
2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024 | 2024年
关键词
TIRE-ROAD FORCES; KALMAN FILTER; SLIP ANGLE; OBSERVER; ORDER;
D O I
10.1109/IV55156.2024.10588645
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper examines various non-linear state estimators for accuracy and robustness, estimating vehicle sideslip angle which is crucial for improving vehicle handling, stability, and safety in modern vehicle dynamic control systems. The study compares the performance of different state estimators under various driving conditions and driving scenarios, with a particular focus on a novel two-stage observer (of order n =2) that combines a super-twisting sliding mode observer and a conventional sliding mode filter. The results demonstrate the effectiveness of the proposed observer, which outperforms other state estimators in terms of accuracy and robustness.
引用
收藏
页码:1939 / 1946
页数:8
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