A preview driver model based on sliding-mode and fuzzy control for articulated heavy vehicle

被引:0
|
作者
Zhao Wen Deng
You Qun Zhao
Bao Hua Wang
Wei Gao
Xinxin Kong
机构
[1] Nanjing University of Aeronautics and Astronautics,College of Energy and Power Engineering
[2] Hubei University of Automotive Technology,College of Automotive Engineering
来源
Meccanica | 2022年 / 57卷
关键词
Articulation heavy vehicle; Sliding-mode control; Fuzzy control; Closed-loop driver-vehicle system; Preview driver model;
D O I
暂无
中图分类号
学科分类号
摘要
To investigate the driver/articulated vehicle directional dynamics, combined with the structural characteristics of articulated heavy vehicles (AHVs) and preview driver model theory, a preview driver model suitable for AHV based on Sliding-mode control (SMC) and Fuzzy control is proposed and validated. First, a linear yaw-plane model with three-degree-of freedom (3-DOF) for the AHV is built and verified. Second, a SMC driver model is designed, based on three-points preview following strategy and reference model of tractor yaw rate. Third, two different reference models of articulation angle are designed based on the double-center of gravity tracking the ideal path and trailer’s rear axle centre following the trajectory of the fifth wheel, respectively. Then, on the basis of the lateral displacement and yaw rate errors of the leading unit, a Fuzzy compensated driver model is designed based on the articulation angle tracking error control. Finally, the effectiveness and applicability of the preview driver model developed based on SMC and Fuzzy theory is validated and proved, using comparative analysis and numerous number simulations, at low and high speed, respectively.
引用
收藏
页码:1853 / 1878
页数:25
相关论文
共 50 条
  • [31] A new sliding-mode control with fuzzy boundary layer
    Lee, H
    Kim, E
    Kang, HJ
    Park, M
    FUZZY SETS AND SYSTEMS, 2001, 120 (01) : 135 - 143
  • [32] Fuzzy terminal sliding-mode control for hypersonic vehicles
    He, Nai-Bao
    Gutierrez, Hector
    Gao, Qian
    Jiang, Chang-Sheng
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (03) : 1831 - 1839
  • [33] Fuzzy sliding-mode control for uncertain SISO systems
    Hamzaoui, A
    Essounbouli, N
    Zaytoon, J
    INTELLIGENT CONTROL SYSTEMS AND SIGNAL PROCESSING 2003, 2003, : 231 - 236
  • [34] Adaptive Fuzzy Sliding-Mode Control of Robot and Simulation
    Niu, Huan
    Yang, Jie
    Chi, Jie-Ru
    FUZZY SYSTEMS AND DATA MINING II, 2016, 293 : 108 - 114
  • [35] Simplex-type fuzzy sliding-mode control
    Chen, TT
    Li, THS
    FUZZY SETS AND SYSTEMS, 2001, 124 (02) : 249 - 261
  • [36] Decoupling control by hierarchical fuzzy sliding-mode controller
    Lin, CM
    Mon, YJ
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (04) : 593 - 598
  • [37] Hybrid fuzzy sliding-mode control of an aeroelastic system
    Lin, CM
    Hsu, CF
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2002, 25 (04) : 829 - 832
  • [38] Fuzzy Sliding-mode Control of the Electronic Throttle System
    Bai, Rui
    Liu, Yumei
    Wang, Shengxian
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 747 - 750
  • [39] Fuzzy adaptive sliding-mode control for hypersonic vehicles
    Gao, Qian
    He, Naibao
    Cao, Fengxue
    FILOMAT, 2018, 32 (05) : 1789 - 1796
  • [40] FUZZY SIMPLEX-TYPE SLIDING-MODE CONTROL
    Chen, Ta-Tau
    Kuo, Sung-Chun
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2013, 37 (03) : 375 - 383