Simultaneous estimation of tire side-slip angle and lateral tire force for vehicle lateral stability control

被引：61

作者：

Cheng, Shuo ^{[1
]}

Li, Liang ^{[1
]}

Yan, Bingjie ^{[1
]}

Liu, Congzhi ^{[1
]}

Wang, Xiangyu ^{[1
]}

Fang, Jigen ^{[2
]}

机构：

[1] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing, Peoples R China

[2] China Acad Machinery Sci & Technol, China Prod Ctr Machinery, Beijing, Peoples R China

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2019年 / 132卷

关键词：

Tire side-slip angle estimation; Lateral tire forces estimation; Adaptive-sliding-mode observer; Compensation algorithm; EXTENDED KALMAN FILTER; IDENTIFICATION; STATE;

D O I：

10.1016/j.ymssp.2019.06.022

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Knowledge of tire side-slip angle and lateral tire force is crucial to vehicle lateral stability control which can enhance vehicle handling and passenger safety. However, due to high costs of sensors and limitations to sensor technologies, ordinary automobiles cannot measure the tire side-slip angle and lateral tire force directly during vehicle operation. Therefore, the accurate, affordable monitoring of lateral vehicle motion is essential. This paper presents a unified observation algorithm to simultaneously estimate the tire sideslip angle and lateral tire force of all four wheels. Firstly, an adaptive-sliding-mode observer (ASMO) is utilized to estimate the lateral tire force of each wheel. Secondly, the tire side-slip angle of each wheel can be estimated by an adaptive compensation algorithm (ACA). Simulations and real car experiments are used to validate the effectiveness of the proposed approach, and extended kalman filter (EKF) is used to compare with our proposed algorithm. Results show that the designed observer can effectively estimate tire side-slip angles and lateral tire forces of all four wheels, and its performance is better than EKF. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：168 / 182

页数：15

共 28 条

[1]

[Anonymous], 2017, IEEE Commun. Surveys Tutor

[2]

[Anonymous], 1992, Vehicle System Dynamics, DOI DOI 10.1080/00423119208969994

[3]

Chen J, 2015, J THORAC ONCOL, V10, pS641

[4] Estimation of longitudinal force, lateral vehicle speed and yaw rate for four-wheel independent driven electric vehicles [J].

Chen, Te ;

Xu, Xing ;

Chen, Long ;

Jiang, Haobing ;

Cai, Yingfeng ;

Li, Yong .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 101 :377-388

[5]

Cherouat H, 2005, ISIE 2005: Proceedings of the IEEE International Symposium on Industrial Electronics 2005, Vols 1- 4, P349

[6]

Dong DM, 2017, 2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC), P711, DOI 10.1109/ICCSEC.2017.8446966

[7] Onboard Real-Time Estimation of Vehicle Lateral Tire-Road Forces and Sideslip Angle [J].

Doumiati, Moustapha ;

Victorino, Alessandro Correa ;

Charara, Ali ;

Lechner, Daniel .

IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2011, 16 (04) :601-614

[8]

Hamann H, 2014, IEEE INT VEH SYM, P814, DOI 10.1109/IVS.2014.6856391

[9] Monitoring System Design for Lateral Vehicle Motion [J].

Han, Sangoh ;

Huh, Kunsoo .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (04) :1394-1403

[10] Estimation of Tire Slip Angle and Friction Limits Using Steering Torque [J].

Hsu, Yung-Hsiang Judy ;

Laws, Shad M. ;

Gerdes, J. Christian .

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2010, 18 (04) :896-907

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