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
相关论文
共 50 条
  • [31] Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems
    Jiang, Bin
    Shi, Peng
    Mao, Zehui
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2011, 30 (01) : 1 - 16
  • [32] Sliding Mode H∞ Control for Active Vehicle Suspension Systems
    Feng, Ai-Ming
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012), 2012, : 294 - 299
  • [33] Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems
    Mao Zehui
    Jiang Bin
    PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, : 47 - 51
  • [34] Estimation of velocity and acceleration by nonlinear filter using sliding mode and application to control systems
    Emaru, Takanori
    Imagawa, Kazuo
    Hoshino, Yohei
    Kobayashi, Yukinori
    Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 2009, 75 (757): : 2547 - 2552
  • [35] Fault deviation estimation and integral sliding mode control design for Lipschitz nonlinear systems
    Gao, Yabin
    Liu, Jianxing
    Sun, Guanghui
    Liu, Ming
    Wu, Ligang
    SYSTEMS & CONTROL LETTERS, 2019, 123 : 8 - 15
  • [36] Sliding Mode Observer-Based Fault Estimation for Nonlinear Networked Control Systems
    Bin Jiang
    Peng Shi
    Zehui Mao
    Circuits, Systems, and Signal Processing, 2011, 30 : 1 - 16
  • [37] State observer based adaptive sliding mode control for semi-active suspension systems
    Ren, Hongbin
    Zhao, Yuzhuang
    Chen, Sizhong
    Liu, Gang
    JOURNAL OF VIBROENGINEERING, 2015, 17 (03) : 1464 - 1475
  • [38] Discrete-Time Sliding Mode Control for State Delay Systems using Nonlinear Sliding Surface
    Patil, Machhindranath
    Bandyopadhyay, B.
    2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2011, : 1199 - 1206
  • [39] Nonlinear Sliding Mode State Estimation Techniques for UAV Application
    Akhtar, Zainab
    Nisar, Adnan
    Hamayun, Mirza Tariq
    PROCEEDINGS OF 2019 16TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST), 2019, : 508 - 514
  • [40] Practical Terminal Sliding Mode Control of Nonlinear Uncertain Active Suspension Systems With Adaptive Disturbance Observer
    Wang, Gang
    Chadli, Mohammed
    Basin, Michael V.
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (02) : 789 - 797
12345