Simulation of Hydraulic Semi-active Suspension System Based on the Adaptive Fuzzy Control

被引:0
|
作者
Jia Zhixuan [1 ]
Zhang Huigang [1 ]
Li Jie [1 ]
机构
[1] Taiyuan Univ Sci & Technol, Mech & Elect Engn Coll, Taiyuan 030024, Peoples R China
关键词
semi-active suspension; fuzzy control; simulink; comfortable ride;
D O I
10.4028/www.scientific.net/AMM.48-49.1065
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
According to vehicle suspension structure, a 2-DOF (degrees of freedom) semi-active hydraulic suspension model for 1/4 vehicle is built. Fuzzy control as a result of simple modeling, with high precision control and non-linear adaptive advantages of the vehicle active suspension control strategy, has been a wider application. In this paper, the body's speed and acceleration were selected for the fuzzy controller inputs, damper output, to realize the semi-active suspension control. Taking some type of vehicle as the simulation object, this paper uses Matlab/Simulink for computer simulation in the same road conditions. And the performance parameters of improving vehicle vertical vibration are compared to the passive suspension. The results show that the semi-active suspension system strategy by fuzzy control can obviously improve the comfortable and safe ride.
引用
收藏
页码:1065 / 1068
页数:4
相关论文
共 50 条
  • [1] Simulation of Hydraulic Semi-active Suspension System Based on the Adaptive Fuzzy Control
    Yang Jianwei
    Li Min
    Li Jie
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 232 - +
  • [2] Application of adaptive fuzzy control in vehicle semi-active suspension system
    2005, Chinese Society of Agricultural Machinery, Beijing, China (36):
  • [3] Hybrid fuzzy control of semi-active suspension system
    Huang, Chen
    Chen, Long
    Yuan, Zhaochun
    Jiang, Haobin
    Niu, Liming
    Qiche Gongcheng/Automotive Engineering, 2014, 36 (08): : 999 - 1003
  • [4] LPV-Fuzzy control approach for road adaptive semi-active suspension system
    Basargan, Hakan
    Mihaly, Andras
    Gaspar, Peter
    Sename, Oliver
    2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2022, : 779 - 784
  • [5] Fuzzy Sliding Mode Control for Semi-active Suspension System
    Zhang, Jingjun
    Han, Weisha
    Gao, Ruizhen
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 1595 - +
  • [6] The Model Reference Adaptive Fuzzy Control for the Vehicle Semi-Active Suspension
    管继富
    侯朝桢
    顾亮
    武云鹏
    Journal of Beijing Institute of Technology(English Edition), 2003, (04) : 342 - 346
  • [7] Fuzzy Control and Co-Simulation of Automobile Semi-active Suspension System Based on SIMPACK and MATLAB
    Bei Shaoyi
    Zhao Jingbo
    Zhang Lanchun
    Liu Shaohua
    QUANTUM, NANO, MICRO AND INFORMATION TECHNOLOGIES, 2011, 39 : 50 - +
  • [8] The Fuzzy Control Method in Semi-active Suspension
    Zhao Jinghua
    Zhang Wenbo
    Hao He
    MICRO NANO DEVICES, STRUCTURE AND COMPUTING SYSTEMS, 2011, 159 : 644 - +
  • [9] Fuzzy Control for Semi-Active Vehicle Suspension
    Kurczyk, Sebastian
    Pawelczyk, Marek
    JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2013, 32 (03) : 217 - 225
  • [10] Simulation of Fuzzy Control on Automobile Semi-active Suspension with MR Damper
    Li, Cheng
    Zhao, Qiang
    2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II, 2010, : 37 - 40