A Novel Disturbance Observer Design for a Larger Class of Nonlinear Strict-Feedback Systems via Improved DSC Technique

被引:11
|
作者
Zhang, Wenqian [1 ]
Dong, Wenhan [1 ]
Dong, Shuangyu [2 ]
Lv, Maolong [3 ,4 ]
Liu, Zongcheng [1 ]
机构
[1] Air Force Engn Univ, Aeronaut Engn Coll, Xian 710038, Shaanxi, Peoples R China
[2] SMZ Telecom Pty Ltd, Melbourne, Vic 3130, Australia
[3] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
[4] Air Force Engn Univ, Equipment Management & UAV Engn Coll, Xian 710051, Shaanxi, Peoples R China
来源
IEEE ACCESS | 2019年 / 7卷
基金
美国国家科学基金会;
关键词
Disturbance observer; dynamic surface control; sliding mode differentiator; ADAPTIVE NEURAL-CONTROL; TRACKING CONTROL;
D O I
10.1109/ACCESS.2019.2931059
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel scheme for disturbance observer is designed for an extended class of strict-feedback nonlinear systems with possibly unbounded, non-smooth, and state-independent compounded disturbance. To overcome these problems in disturbance observer design, the typical slide mode differentiators are improved by introducing hyperbolic tangent function to make the signals smooth, and then the improved slide mode differentiators are constructively used to estimate the errors of variables in the presence of disturbances. The unbounded, non-smooth or state-independent disturbances are therefore able to be eliminated by using the estimated variable errors. Thus, the bounded or differentiable conditions for disturbance observer design are removed. Furthermore, the convergence of the new disturbance observer is rigorously proved based on Lyapunov stability theorem, and the tracking error can be arbitrarily small. Finally, the simulation results are given to validate the feasibility and superiority of the proposed approach.
引用
收藏
页码:102455 / 102466
页数:12
相关论文
共 50 条
  • [21] Almost Disturbance Decoupling for HOFA Nonlinear Systems with Strict-Feedback Form
    Na Wang
    Xiaoping Liu
    Cungen Liu
    Huanqing Wang
    Yucheng Zhou
    Journal of Systems Science and Complexity, 2022, 35 : 481 - 501
  • [22] Almost Disturbance Decoupling for HOFA Nonlinear Systems with Strict-Feedback Form
    WANG Na
    LIU Xiaoping
    LIU Cungen
    WANG Huanqing
    ZHOU Yucheng
    Journal of Systems Science & Complexity, 2022, 35 (02) : 481 - 501
  • [23] Disturbance-Observer-Based Adaptive Fuzzy Control for Strict-Feedback Switched Nonlinear Systems With Input Delay
    Zhang, Qiang
    He, Dakuo
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (07) : 1942 - 1952
  • [24] Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems
    Tong, Shaocheng
    Li, Yue
    Li, Yongming
    Liu, Yanjun
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 41 (06): : 1693 - 1704
  • [25] Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
    Tong, Shaocheng
    Li, Yongming
    FUZZY SETS AND SYSTEMS, 2009, 160 (12) : 1749 - 1764
  • [26] Stabilization Control for a Class of Switched Nonlinear Systems in Strict-Feedback Form
    Zhu Baicheng
    Zhang Tianping
    Yang Yuequan
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 1066 - 1070
  • [27] Robust adaptive control for a class of uncertain strict-feedback nonlinear systems
    Hong, F.
    Ge, S. S.
    Ren, B.
    Lee, T. H.
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2009, 19 (07) : 746 - 767
  • [28] Disturbance-observer-based adaptive NN control for a class of MIMO discrete-time nonlinear strict-feedback systems with dead zone
    Wu, Bei
    Chen, Mou
    Shao, Shuyi
    Zhang, Luo
    NEUROCOMPUTING, 2021, 446 : 23 - 31
  • [29] Disturbance-observer-based adaptive NN control for a class of MIMO discrete-time nonlinear strict-feedback systems with dead zone
    Wu, Bei
    Chen, Mou
    Shao, Shuyi
    Zhang, Luo
    Neurocomputing, 2021, 446 : 23 - 31
  • [30] Robust adaptive control for a class of perturbed strict-feedback nonlinear systems
    Ge, SS
    Hong, F
    Lee, TH
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 1917 - 1922