Optimal slip ratio estimation using Local Polynomial Fitting
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.
optimal slip ratio local polynomial fitting burckhardt motile taylor expansion
Peng Xiaoyan Chen Changrong Zhang Jing Wang Lianhong
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha College of Electrical and Information Engineering Hunan University Changsha, P.R.China
国际会议
太原
英文
319-323
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）