Online Estimation for Vehicle Center of Gravity Height Based on Unscented Kalman Filter

被引：0

作者：

Deng, Zejian ^{[1
,2
]}

Chu, Duanfeng ^{[1
,2
,3
]}

Tian, Fei ^{[1
,2
]}

He, Yi ^{[1
,2
]}

Wu, Chaozhong ^{[1
,2
]}

Hu, Zhaozheng ^{[1
,2
]}

Pei, Xiaofei ^{[4
]}

机构：

[1] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Hubei, Peoples R China

[2] Minist Educ, Engn Res Ctr Transportat Safety, Wuhan 430063, Hubei, Peoples R China

[3] Beihang Univ, Beijing Key Lab Cooperat Vehicle Infrastruct Syst, Beijing 100191, Peoples R China

[4] Wuhan Univ Technol, Sch Automot Engn, Wuhan 430070, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS) | 2017年

关键词：

Center of Gravity height; parameter estimation; unscented Kalman filter (UKF); vehicle dynamics; PARAMETER;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Center of Gravity height of heavy-duty vehicles will drift apparently when the load changes, while online estimation of the vehicle CG height is of high importance to the vehicle active safety system. An unscented Kalman filter based on three-degree-of-freedom (3-DOF) vehicle dynamics model is proposed to acquire the real-time value of vehicle CG height through sensing vehicle speed, front and rear wheel speed etc. The results of combined simulation studies based on TruckSim and MATLAB/Simulink show that the estimation algorithm is able to obtain the true value of CG height in a short time with a steady average error rate less than 12%. The results are instructive for the vehicle dynamic control system.

引用

页码：33 / 36

页数：4

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