Robust estimation of the friction forces generated by each tire of a vehicle

Tesheng Hsiao; Nien Chi Liu; Syuan Yi Chen

doi:10.1109/ACC.2011.5991219

Robust estimation of the friction forces generated by each tire of a vehicle

Tesheng Hsiao^*
, Nien Chi Liu
, Syuan Yi Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

Abstract

Real-time information of tire friction forces is invaluable for vehicle control systems, such as ABS and the electronic stability program (ESP), to achieve better stability and maneuverability. To estimate tire forces on-line, this paper proposes a robust tire force estimation algorithm which is able to identify the longitudinal and lateral tire forces of each individual wheel. In addition, the estimation results are robust w.r.t variations in vehicle parameters. The dependency between the longitudinal and lateral tire forces is explicitly taken into account by incorporating friction ellipses into the estimation algorithm. Simulations based on a 14-degree-of-freedom nonlinear vehicle model are conducted and the results are satisfactory, even in the presence of sudden changes of the road conditions and variations in vehicle parameters.

Original language	English
Title of host publication	Proceedings of the 2011 American Control Conference, ACC 2011
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5261-5266
Number of pages	6
ISBN (Print)	9781457700804
DOIs	https://doi.org/10.1109/ACC.2011.5991219
Publication status	Published - 2011
Externally published	Yes

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2011.5991219

Cite this

Robust estimation of the friction forces generated by each tire of a vehicle. / Hsiao, Tesheng; Liu, Nien Chi; Chen, Syuan Yi.
Proceedings of the 2011 American Control Conference, ACC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. p. 5261-5266 5991219 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

@inproceedings{c0848d9cbfc84ecd8f6d68efbd55bdb3,

title = "Robust estimation of the friction forces generated by each tire of a vehicle",

abstract = "Real-time information of tire friction forces is invaluable for vehicle control systems, such as ABS and the electronic stability program (ESP), to achieve better stability and maneuverability. To estimate tire forces on-line, this paper proposes a robust tire force estimation algorithm which is able to identify the longitudinal and lateral tire forces of each individual wheel. In addition, the estimation results are robust w.r.t variations in vehicle parameters. The dependency between the longitudinal and lateral tire forces is explicitly taken into account by incorporating friction ellipses into the estimation algorithm. Simulations based on a 14-degree-of-freedom nonlinear vehicle model are conducted and the results are satisfactory, even in the presence of sudden changes of the road conditions and variations in vehicle parameters.",

author = "Tesheng Hsiao and Liu, \{Nien Chi\} and Chen, \{Syuan Yi\}",

year = "2011",

doi = "10.1109/ACC.2011.5991219",

language = "English",

isbn = "9781457700804",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5261--5266",

booktitle = "Proceedings of the 2011 American Control Conference, ACC 2011",

}

TY - GEN

T1 - Robust estimation of the friction forces generated by each tire of a vehicle

AU - Hsiao, Tesheng

AU - Liu, Nien Chi

AU - Chen, Syuan Yi

PY - 2011

Y1 - 2011

N2 - Real-time information of tire friction forces is invaluable for vehicle control systems, such as ABS and the electronic stability program (ESP), to achieve better stability and maneuverability. To estimate tire forces on-line, this paper proposes a robust tire force estimation algorithm which is able to identify the longitudinal and lateral tire forces of each individual wheel. In addition, the estimation results are robust w.r.t variations in vehicle parameters. The dependency between the longitudinal and lateral tire forces is explicitly taken into account by incorporating friction ellipses into the estimation algorithm. Simulations based on a 14-degree-of-freedom nonlinear vehicle model are conducted and the results are satisfactory, even in the presence of sudden changes of the road conditions and variations in vehicle parameters.

AB - Real-time information of tire friction forces is invaluable for vehicle control systems, such as ABS and the electronic stability program (ESP), to achieve better stability and maneuverability. To estimate tire forces on-line, this paper proposes a robust tire force estimation algorithm which is able to identify the longitudinal and lateral tire forces of each individual wheel. In addition, the estimation results are robust w.r.t variations in vehicle parameters. The dependency between the longitudinal and lateral tire forces is explicitly taken into account by incorporating friction ellipses into the estimation algorithm. Simulations based on a 14-degree-of-freedom nonlinear vehicle model are conducted and the results are satisfactory, even in the presence of sudden changes of the road conditions and variations in vehicle parameters.

UR - https://www.scopus.com/pages/publications/80053156123

UR - https://www.scopus.com/pages/publications/80053156123#tab=citedBy

U2 - 10.1109/ACC.2011.5991219

DO - 10.1109/ACC.2011.5991219

M3 - Conference contribution

AN - SCOPUS:80053156123

SN - 9781457700804

T3 - Proceedings of the American Control Conference

SP - 5261

EP - 5266

BT - Proceedings of the 2011 American Control Conference, ACC 2011

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Robust estimation of the friction forces generated by each tire of a vehicle

Abstract

Publication series

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this