A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system

被引:42
|
作者
Ding, Shihong [1 ]
Liu, Lu [1 ]
Park, Ju H. [2 ]
机构
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang, Jiangsu, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Kyongsan 38541, South Korea
基金
美国国家科学基金会; 新加坡国家研究基金会;
关键词
active front steering system; adaptive technique; finite-time convergence; terminal sliding mode; STABILIZATION; STABILITY; OBSERVER; STATE;
D O I
10.1002/rnc.4625
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Note that the amplitude of chattering existing in the sliding mode control method is proportional to the magnitude of the control gain. Therefore, the key issue to diminish the chattering is to decrease the value of sliding mode controller's gain to an acceptable minimal level defined by the so-called reaching condition for the sliding mode's existence. For this reason, the nonsingular terminal sliding mode (NTSM) control method and the adaptive technique have been considered in this paper to develop a novel adaptive NTSM control method, which can be used to search the minimal value of the control gain automatically in the presence of the external disturbances. Meanwhile, the average value of a high-frequency switching signal in the adaptive law can be provided by Arie Levant's differentiator rather than a low-pass filter. The rigorous mathematical proof verifies that the system states can converge to the origin within a finite time under the proposed adaptive NTSM controller. Both the academic example and the practical application to an active front steering system are illustrated to show that the presented adaptive NTSM controller has better control performance than the conventional sliding mode controller.
引用
收藏
页码:4250 / 4269
页数:20
相关论文
共 50 条
  • [31] Adaptive nonsingular terminal sliding mode control of MEMS gyroscope based on backstepping design
    Fei, Juntao
    Yan, Weifeng
    Yang, Yuzheng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2015, 29 (09) : 1099 - 1115
  • [32] Adaptive Nonsingular Terminal Sliding Mode Control Strategy for PMSC
    Gong, Xiaoqing
    Jiang, Haobin
    Geng, Guoqing
    Tang, Bin
    PROCEEDINGS OF 2016 2ND INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2016, : 119 - 123
  • [33] Adaptive nonsingular terminal sliding mode control for rehabilitation robots
    Liang, Xiaoling
    Wang, Haibin
    Zhang, Yuexin
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 99
  • [34] Improved Nonsingular Fast Terminal Sliding Mode Controller for Nonlinear Systems
    Hou, Zhiwei
    Wang, Yongji
    Liu, Lei
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 678 - 683
  • [35] Improved teleoperation controller based on the nonsingular terminal sliding mode control
    Li, Yulin
    Li, Yixin
    Sun, Xiaohui
    Zheng, Wenfeng
    Yin, Lirong
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 51 - 51
  • [36] Nonsingular Terminal Sliding Mode Control of Active Power Filter
    Hou, Shixi
    Fei, Juntao
    Chu, Yundi
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2982 - 2987
  • [37] Design and Evaluation of Active Front Wheel Steering System Model and Controller
    Song, Jeonghoon
    SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS, 2014, 7 (01): : 367 - 373
  • [38] Adaptive Fuzzy Nonsingular Terminal Sliding Mode Controller for Robot Manipulator Actuated by Pneumatic Artificial Muscles
    Rezoug, A.
    Tondu, B.
    Hamerlain, M.
    Tadjine, M.
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 334 - 339
  • [39] Adaptive neural nonsingular terminal sliding mode control for MEMS gyroscope based on dynamic surface controller
    Dandan Lei
    Juntao Fei
    International Journal of Machine Learning and Cybernetics, 2018, 9 : 1285 - 1295
  • [40] Adaptive neural nonsingular terminal sliding mode control for MEMS gyroscope based on dynamic surface controller
    Lei, Dandan
    Fei, Juntao
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (08) : 1285 - 1295