吉首大学学报（自然科学版）2023，Vol.44Issue(5)：48-56,9.DOI:10.13438/j.cnki.jdzk.2023.05.007
一种基于μ-S模型的最佳滑移率辨识估计器设计
Optimal Slip Ratio Identification Estimator Design Based on μ-S Model
摘要
Abstract
In order to achieve optimal control of the automotive anti-lock controller based on slip ratio identification,an optimal slip ratio identification estimator is designed based on the Kiencke μ-S model using an improved forgetting factor recursive least squares algorithm,and the estimation results of the identification estimator regarding the optimal slip ratio and peak adhesion coefficient are compared with those under the Burckhardt μ-S model.The discriminative estimator is applied to the fuzzy sliding mode controller of the automotive anti-lock braking system,and simulation experiments are conducted under single pavement and variational pavement conditions.The experimental results show that the discrimina-tive estimator has small errors and delays,and the anti-lock controller based on the optimal slip ratio identification can achieve online identification and fast tracking of the optimal slip ratio and effectively improve the braking efficiency.关键词
最佳滑移率/辨识估计器/Kiencke μ-S模型/递推最小二乘法/遗忘因子Key words
optimal slip ratio/identification estimator/Kiencke μ-S model/recursive least square method/forgetting factor分类
交通工程引用本文复制引用
王波,丁芳,刘明岩,田苗法..一种基于μ-S模型的最佳滑移率辨识估计器设计[J].吉首大学学报（自然科学版）,2023,44(5):48-56,9.基金项目
安徽省高校科学研究项目(KJ2020A1101,KJ2020A1116,2022AH052354) （KJ2020A1101,KJ2020A1116,2022AH052354）
安徽省质量工程项目(2021JXTD064) （2021JXTD064）
