Robust Lateral and Longitudinal Tire Force Estimation Based on PMI Observer for Intelligent Vehicle

被引：1
|
作者：
Dong, Xiaochen [1 ]
Tao, Siyou [2 ]
Zhang, Hui [2 ]
机构：
[1] CRRC Dalian R&D Co LTD, Ind Elect & Control Div, Dalian, Peoples R China
[2] Beihang Univ, Sch Transportat Sci & Engn, Beijing, Peoples R China
来源：
2022 IEEE 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS | 2022年
关键词：
Tire force estimation; Proportional multipleintegral (PMI) observer; Particle swarm optimization (PSO); Vehicle dynamics model; MODEL;
D O I：
10.1109/ICPS51978.2022.9817013
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Longitudinal and lateral tire force estimation of four-wheel drive vehicle is addressed in this paper. Firstly, the longitudinal tire force is estimated, and then the estimated longitudinal force is treated as known input to estimate the lateral tire force. To solve the uncertainty and nonlinearity of model, a robust PMI observer based on LPV model is proposed. Particle swarm optimization (PSO) algorithm is applied to find an optimal solution. The simulation results verify the effectiveness of the proposed observer.
引用
收藏
页数：6
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