Enhanced variable-universe fuzzy control for vehicle semi-active suspension systems

被引：10
|
作者：
Pang, Hui [1 ]
Liu, Fan [1 ]
Liu, Xue [1 ]
机构：
[1] Xian Univ Technol, Sch Mech & Precis Instrument Engn, Xian, Shaanxi, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2016年 / 31卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Semi-active suspension; variable-universe; fuzzy control; fuzzy neural network; NEURAL-NETWORK; LOGIC CONTROLLER; DELAY;
D O I：
10.3233/JIFS-169184
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An enhanced variable-universe fuzzy controller design approach is proposed for a vehicle semi-active suspension system that combines the conventional universe fuzzy control algorithm with the fuzzy neural network control theory. First, a mathematical model of a vehicle suspension system is established, taking the road excitation into account. Then, a fuzzy inference unit is constructed by using a fuzzy neural network algorithm, which is able to regulate the universe of input/output variables for a fuzzy logic controller in real-time. It can also avoid the problem of excessive reliance on expert experience in selecting the contracting-expanding factors. Finally, a designed example and its simulation analysis are conducted to verify the proposed control approach.
引用
收藏
页码：2999 / 3006
页数：8
相关论文
共 50 条
  • [21] Application of fuzzy logic control to the design of semi-active suspension systems
    Nicolas, CF
    Landaluze, J
    Castrillo, E
    Gaston, M
    Reyero, R
    PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III, 1997, : 987 - 993
  • [22] Research on variable universe fuzzy PID control for semi-active suspension with CDC dampers based on dynamic adjustment functions
    Ji, Guanggang
    Zhang, Lidong
    Cai, Mingda
    Meng, Xianke
    Du, Zhengyu
    Ruan, Jiuhong
    Guan, Shenhao
    Liu, Zhiwen
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [23] Optimum Control for the Vehicle Semi-active Suspension System
    Garg, Ayush
    Arvind, Akshay
    Gadhvi, Bhargav
    MECHATRONICS AND ROBOTICS ENGINEERING FOR ADVANCED AND INTELLIGENT MANUFACTURING, 2017, : 421 - 430
  • [24] Semi-active vehicle suspension systems with magnetorheological dampers
    Guo, Shuqi
    Li, Shaohua
    Yang, Shaopu
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, 2006, : 403 - +
  • [25] Integrated vehicle dynamics control using semi-active suspension and active braking systems
    Soltani, Abbas
    Bagheri, Ahmad
    Azadi, Shahram
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2018, 232 (03) : 314 - 329
  • [26] Control method of vehicle semi active suspensions based on variable universe fuzzy control
    Wang D.
    Wang H.
    1600, Chinese Mechanical Engineering Society (28): : 366 - 372
  • [27] A modal control for active/semi-active suspension systems
    Braghin, F.
    Resta, F.
    Sabbioni, E.
    2007 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3, 2007, : 786 - 791
  • [28] Integrated control design for vehicle semi-active suspension system with variable stiffness stabilizer
    Kosemura R.
    Suzuki T.
    Takahashi M.
    Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 2010, 76 (761): : 84 - 92
  • [29] 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
  • [30] Fuzzy control of semi-active suspension based on 7-DOF tracked vehicle
    School of Science, Beijing Institute of Technology, Beijing 100081, China
    J Beijing Inst Technol Engl Ed, 2008, 1 (5-9):
12345