DocumentCode
2858863
Title
Notice of Retraction
Optimal slip ratio estimation using Local Polynomial Fitting
Author
Peng Xiaoyan ; Chen Changrong ; Zhang Jing ; Wang Lianhong
Author_Institution
State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ., Changsha, China
Volume
12
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper is to study the problem of estimating optimal slip ratio. Firstly, the dynamics of the vehicle model used is discussed to point out the key problem of the optimal slip ratio estimation. Then, Local Polynomial Fitting is utilized to study the local property of the longitudinal friction coefficient and an empirical model of tire-road friction coefficient is selected so that the global property can be maintained as well. Finally, the optimal slip ratio estimator is implemented on a quarter vehicle ABS system and within two types of road conditions, both single road and various roads. The results show that the estimated optimal slip ratios are equal to the actual ones, regardless of the road conditions. Thus, the effectiveness of the proposed optimal slip ratio estimator is confirmed.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper is to study the problem of estimating optimal slip ratio. Firstly, the dynamics of the vehicle model used is discussed to point out the key problem of the optimal slip ratio estimation. Then, Local Polynomial Fitting is utilized to study the local property of the longitudinal friction coefficient and an empirical model of tire-road friction coefficient is selected so that the global property can be maintained as well. Finally, the optimal slip ratio estimator is implemented on a quarter vehicle ABS system and within two types of road conditions, both single road and various roads. The results show that the estimated optimal slip ratios are equal to the actual ones, regardless of the road conditions. Thus, the effectiveness of the proposed optimal slip ratio estimator is confirmed.
Keywords
automobile industry; braking; friction; polynomial approximation; road safety; vehicle dynamics; automotive active safely; local polynomial fitting; longitudinal friction coefficient; optimal slip ratio estimation; tire-road friction coefficient; vehicle ABS system; vehicle model; Asphalt; Estimation; Fitting; Friction; Polynomials; Roads; Vehicles; Burckhardt model; Taylor expansion; local polynomial fitting; optimal slip ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5622293
Filename
5622293
Link To Document