Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems

被引:245
|
作者
Chen, Mou [1 ]
Wu, Qing-Xian [1 ]
Cui, Rong-Xin [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Northwestern Polytech Univ, Coll Marine Engn, Xian 710072, Peoples R China
关键词
Uncertain nonlinear system; Input saturation; Disturbance observer; Terminal sliding mode control; Tracking control; OBSERVER-BASED CONTROL; FUZZY DISTURBANCE OBSERVER; CONTROL DESIGN; BACKSTEPPING CONTROL; LINEAR-SYSTEMS; ROBUST-CONTROL; SUBJECT;
D O I
10.1016/j.isatra.2012.09.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the terminal sliding mode tracking control is proposed for the uncertain single-input and single-output (SISO) nonlinear system with unknown external disturbance. For the unmeasured disturbance of nonlinear systems, terminal sliding mode disturbance observer is presented. The developed disturbance observer can guarantee the disturbance approximation error to converge to zero in the finite time. Based on the output of designed disturbance observer, the terminal sliding mode tracking control is presented for uncertain SISO nonlinear systems. Subsequently, terminal sliding mode tracking control is developed using disturbance observer technique for the uncertain SISO nonlinear system with control singularity and unknown non-symmetric input saturation. The effects of the control singularity and unknown input saturation are combined with the external disturbance which is approximated using the disturbance observer. Under the proposed terminal sliding mode tracking control techniques, the finite time convergence of all closed-loop signals are guaranteed via Lyapunov analysis. Numerical simulation results are given to illustrate the effectiveness of the proposed terminal sliding mode tracking control. (C) 2012 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:198 / 206
页数:9
相关论文
共 50 条
  • [11] Adaptive fuzzy sliding mode control of uncertain nonlinear SISO systems
    Wang, Shaojiang
    Hou, Li
    Dong, Lu
    Xiao, Huajun
    INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING 2011, 2011, 24 : 33 - 37
  • [12] Adaptive fuzzy terminal sliding mode control for a class of MIMO uncertain nonlinear systems
    Nekoukar, V.
    Erfanian, A.
    FUZZY SETS AND SYSTEMS, 2011, 179 (01) : 34 - 49
  • [13] A continuous integral terminal sliding mode control approach for a class of uncertain nonlinear systems
    Niu, Huawei
    Lan, Qixun
    Liu, Yamei
    Xu, Huafeng
    MEASUREMENT & CONTROL, 2019, 52 (5-6): : 720 - 728
  • [14] Robust sliding mode tracking control for a class of uncertain switched nonlinear cascade systems
    Wu Caiyun
    Niu Ben
    Zhao Jun
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 2057 - 2062
  • [15] Integral terminal sliding mode control for uncertain nonlinear systems
    Li Peng
    Ma Jianjun
    Geng Lina
    Zheng Zhiqiang
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 824 - 828
  • [16] A new terminal sliding mode tracking control for a class of nonminimum phase systems with uncertain dynamics
    Man, Zhihong
    Shen, Weixiang
    Yu, Xinghuo
    2008 INTERNATIONAL WORKSHOP ON VARIABLE STRUCTURE SYSTEMS, 2008, : 147 - +
  • [17] Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear Systems
    Duan, Hongjun
    Li, Qingwei
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 598 - +
  • [18] Adaptive Neural Network Sliding Mode Control for a Class of SISO Nonlinear Systems
    Li, Bin
    Zhu, Jiahao
    Zhou, Ranran
    Wen, Guoxing
    MATHEMATICS, 2022, 10 (07)
  • [19] Digital second order sliding mode control of SISO uncertain nonlinear systems.
    Bartolini, G
    Pisano, A
    Usai, E
    PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1998, : 119 - 124
  • [20] Model reference sliding mode control for a class of SISO systems with nonlinear input
    Jiang, Haibo
    Zhang, Tianping
    Li, Hongchun
    Wang, Qin
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3896 - +