Yaw stability control for steer-by-wire vehicle based on radial basis network and terminal sliding mode theory

被引:7
作者
Chen, Linbin [1 ]
Tang, Lan [1 ]
机构
[1] Xihua Univ, Sch Automobile & Transportat, 9999 Hongguang Ave, Chengdu 610039, Peoples R China
关键词
Steer-by-wire; vehicle stability control; radial basis function network; global fast terminal sliding mode; DISTURBANCE REJECTION CONTROL; SIDESLIP ANGLE ESTIMATION; ELECTRIC VEHICLE; ROBUST-CONTROL; OBSERVER; SCHEMES; SYSTEMS;
D O I
10.1177/09544070221102007
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To further improve the handling and steering performance of steer-by-wire vehicles, a layered control strategy is proposed for the steer-by-wire system, which includes the upper and lower controllers. In the upper control, considering the vehicle sideslip angle and yaw rate, an adaptive sliding mode control strategy is designed for the vehicle lateral stability. Due to the measurement difficulty of the sideslip angle, a robust sliding mode observer is designed to estimate the sideslip angle. In the lower control, a new adaptive global fast terminal sliding mode is proposed to ensure the tracking accuracy of the front wheel angle, considering the dynamic uncertainty characteristics of the steering-by-wire system. The adaptive part of the lower control adopts a radial basis function network, and the adaptive law is designed in Lyapunov sense to make the network approximate the unknown dynamics of the steering-by-wire system, thus the parameters of the steering-by-wire are not required to be completely known. Finally, the joint simulation of MATLAB/Simulink and Carsim verifies that the proposed layered controller has excellent control performance.
引用
收藏
页码:2036 / 2048
页数:13
相关论文
共 36 条
[1]   Model Predictive Control for Vehicle Stabilization at the Limits of Handling [J].
Beal, Craig Earl ;
Gerdes, J. Christian .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (04) :1258-1269
[2]   Control Schemes for Steer-by-Wire Systems [J].
Bertoluzzo, Manuele ;
Buja, Giuseppe ;
Menis, Roberto .
IEEE INDUSTRIAL ELECTRONICS MAGAZINE, 2007, 1 (01) :20-27
[3]   UKF-based adaptive variable structure observer for vehicle sideslip with dynamic correction [J].
Chen, Jie ;
Song, Jian ;
Li, Liang ;
Jia, Gang ;
Ran, Xu ;
Yang, Cai .
IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (14) :1641-1652
[4]   A reduced-order nonlinear sliding mode observer for vehicle slip angle and tyre forces [J].
Chen, Yuhang ;
Ji, Yunfeng ;
Guo, Konghui .
VEHICLE SYSTEM DYNAMICS, 2014, 52 (12) :1716-1728
[5]   On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations [J].
Chindamo, Daniel ;
Lenzo, Basilio ;
Gadola, Marco .
APPLIED SCIENCES-BASEL, 2018, 8 (03)
[6]   Active disturbance rejection control applied to automated steering for lane keeping in autonomous vehicles [J].
Chu, Zhengrong ;
Sun, Yuming ;
Wu, Christine ;
Sepehri, Nariman .
CONTROL ENGINEERING PRACTICE, 2018, 74 :13-21
[7]  
Deng P., 2018, COMPLEXITY, V2018, P1
[8]   An extended Luenberger observer for estimation of vehicle sideslip angle and road friction [J].
Ding, Nenggen ;
Chen, Wen ;
Zhang, Yipeng ;
Xu, Guoyan ;
Gao, Feng .
INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2014, 66 (04) :385-414
[9]   A novel adaptive sliding mode control approach for electric vehicle direct yaw-moment control [J].
Fu, Chunyun ;
Hoseinnezhad, Reza ;
Li, Kuining ;
Hu, Minghui .
ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (10)
[10]   Adaptive neural control of uncertain MIMO nonlinear systems [J].
Ge, SS ;
Wang, C .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2004, 15 (03) :674-692