Investigation of sliding mode control for nonlinear suspension systems with state estimation

被引：5
|
作者：
Chen, Xing [1 ,2 ,3 ]
Han, Sen [1 ]
Luo, Tianhong [3 ]
Guo, Du [1 ]
机构：
[1] Chongqing Jiaotong Univ, Sch Mech & Vehicle Engineer, Chongqing 400074, Peoples R China
[2] State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
[3] Chongqing Univ Arts & Sci, Sch Intelligent Mfg Engn, Chongqing 402160, Peoples R China
来源：
MECHANICS & INDUSTRY | 2020年 / 21卷 / 06期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Active suspension control; sliding mode control; non-linear model; Kalman filter; STRATEGY;
D O I：
10.1051/meca/2020081
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper presented a new control strategy for active suspension of nonlinear quarter-vehicle model. An active suspension controller designed for using sliding mode control with noise filtering. The Kalman filter (KF) predicted the state response of the nonlinear one-quarter automobile model, and the estimated values used for the design of the active control force. Finally, the shock absorption performance compared with the LQR controller and the passive suspension. The simulation results showed that the control method significantly improve the ride performance and safety of the vehicle.
引用
收藏
页数：8
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