Approaching fuzzy sliding mode strategy for automotive suspension based on the view of enhancing ride comfort and vehicle stability

被引:1
|
作者
Nguyen, Tuan Anh [1 ]
机构
[1] Thuyloi Univ, 175 Tay Son, Hanoi 100000, Vietnam
来源
MEASUREMENT & CONTROL | 2025年 / 58卷 / 02期
关键词
Vehicle suspension; sliding mode control; vehicle dynamics; fuzzy control; CONTROLLER; SYSTEMS;
D O I
10.1177/00202940241260230
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This work introduces an algorithm integrated from two component signals called fuzzy sliding mode control (FSMC). This aims to ensure both road holding and ride comfort criteria rather than just one, as mentioned in previous articles. These mentioned criteria are guaranteed based on the design of membership functions and fuzzy rules, while the stability of the sliding mode framework is evaluated through the Lyapunov function. Simulations are performed in the MATLAB-Simulink interface, with four cases corresponding to different road types. According to the calculation results, the displacement and acceleration values of the sprung mass are the smallest once the FSMC method is used to control automotive suspension. In the last case, the wheel can be separated from the road if the automobile has only a passive suspension system or an active suspension system controlled by the proportional integral derivative (PID) algorithm. However, this does not happen when the FSMC algorithm is applied. As a result, the vehicle's road holding and ride comfort can be ensured in many conditions.
引用
收藏
页码:266 / 280
页数:15
相关论文
共 50 条
  • [31] ADAPTIVE FUZZY SLIDING MODE CONTROL FOR SEMI ACTIVE VEHICLE SUSPENSION SYSTEM
    Li, Jinpeng
    Fang, Yunmei
    Fei, Juntao
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2015, 11 (05): : 1603 - 1614
  • [32] Preliminary Selection and Parameter Optimization of Nonlinear Parallel Suspension Based on Vehicle Ride Comfort
    Zhang, Zhiwei
    Lu, Tongli
    Jiang, Hua
    ADVANCES IN DYNAMICS OF VEHICLES ON ROADS AND TRACKS, IAVSD 2019, 2020, : 1715 - 1722
  • [33] Stiffness Matching and Ride Comfort Optimization of Heavy Vehicle's Suspension Based on ADAMS
    Pang, Hui
    Li, Hongyan
    Fang, Zongde
    Wang, Jifeng
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE, PTS 1-4, 2011, 44-47 : 1734 - +
  • [34] Simulation study on ride comfort enhancement for a heavy duty vehicle with fractional order sliding mode controller
    Yuvapriya, T.
    Lakshmi, P.
    SN APPLIED SCIENCES, 2020, 2 (09):
  • [35] Simulation study on ride comfort enhancement for a heavy duty vehicle with fractional order sliding mode controller
    T. Yuvapriya
    P. Lakshmi
    SN Applied Sciences, 2020, 2
  • [36] Ride Comfort Enhancement of Semi-active Vehicle Suspension Based on SMC with PID Sliding Surface Parameters Tuning using PSO
    Bashir, Ahmed O.
    Rui, Xiaoting
    Abbas, Laith K.
    Zhang, Jianshu
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2019, 21 (03): : 51 - 62
  • [37] Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system
    Soosairaj, Arockia Suthan
    Kandavel, Arunachalam
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (14) : 3606 - 3618
  • [38] Gain-scheduling H∞ control to improve ride comfort and driving stability of vehicle active suspension
    School of Science for Open and Environmental System, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama
    223-8522, Japan
    不详
    223-8522, Japan
    MOVIC - Int. Conf. Motion Vib. Control, Proc.,
  • [39] Coordinated control of vehicle ride comfort and handling stability based on state identification
    Chen, Wuwei
    Zhu, Hui
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2011, 47 (06): : 121 - 129
  • [40] Enhancing the performance of the vehicle active suspension system by an Optimal Sliding Mode Control algorithm
    Duc Ngoc Nguyen
    Tuan Anh Nguyen
    PLOS ONE, 2022, 17 (12):