Continuous predefined-time sliding mode control for second-order nonlinear systems under full-channel disturbances

被引:0
|
作者
Ju, Xiaozhe [1 ]
Lv, Jixing [1 ]
Kao, Yonggui [1 ]
Wang, Changhong [1 ]
机构
[1] Harbin Inst Technol, Sch Aerosp Sci, Shenzhen 518000, Peoples R China
基金
中国博士后科学基金;
关键词
Full-channel disturbances; upper bound for the settling time; continuous predefined-time sliding mode control; predefined-time extended state observer; LINEAR-SYSTEMS; SATURATION; FEEDBACK;
D O I
10.1080/00207721.2025.2461013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a continuous predefined-time sliding mode control (CPTSMC) strategy for second-order nonlinear systems subject to full-channel disturbances. A predefined-time extended state observer (PTESO) is derived to estimate both the unknown system states and disturbances, with the upper bound for the settling time (UBST) precisely defined by one design parameter in a less conservative manner than those of finite-time or fixed-time ESOs. Furthermore, the peak observation errors are small during the transient process. Then, using the estimates, a CPTSMC law is designed for the chattering-alleviated predefined-time convergence of system states. The internal mechanism of parameter tuning for improving transient performance is theoretically explored. In addition to proving that the UBST of the whole system is precisely defined by one design parameter, we show the continuity of CPTSMC and the boundedness of all system signals that are vital for practical applications. Ultimately, the proposed approach is applied to a DC servo motor to demonstrate its efficiency.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Predefined-time integral sliding mode control of second-order systems
    Sanchez-Torres, Juan Diego
    Munoz-Vazquez, Aldo Jonathan
    Defoort, Michael
    Aldana-Lopez, Rodrigo
    Gomez-Gutierrez, David
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2020, 51 (16) : 3425 - 3435
  • [2] Second-order predefined-time sliding-mode control of fractional-order systems
    Munoz-Vazquez, Aldo Jonathan
    Sanchez-Torres, Juan Diego
    Defoort, Michael
    ASIAN JOURNAL OF CONTROL, 2022, 24 (01) : 74 - 82
  • [3] Predefined-Time Consensus for Second-Order Nonlinear Multiagent Systems via Sliding Mode Technique
    Jin, Dongyang
    Xiang, Zhengrong
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2024, 32 (08) : 4534 - 4541
  • [4] Predefined-time sliding mode control based on exact time disturbance observer for second-order systems with matched and mismatched disturbances
    Cai, Zhongze
    Sun, Guhao
    Zeng, Qingshuang
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (10) : 1871 - 1884
  • [5] Safety Predefined-Time Tracking Control of Second-Order Nonlinear Systems
    Xu, Yang
    Sun, Yuan
    Chen, Yiyang
    Tao, Hongfeng
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 1320 - 1324
  • [6] A Second Order Sliding Mode Controller with Predefined-Time Convergence
    Diego Sanchez-Torres, Juan
    Defoort, Michael
    Jonathan Munoz-Vazquez, Aldo
    2018 15TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE), 2018,
  • [7] Sliding Mode Control for a Class of Second-order Nonlinear Systems with Unmatched Disturbances
    Zhang, Lu
    Yang, Jun
    Li, Shihua
    Li, Ting
    Man, Chaoyuan
    2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA), 2017, : 34 - 39
  • [8] Predefined-time fractional-order time-varying sliding mode control for arbitrary order systems with uncertain disturbances
    Sheng, Yongzhi
    Gan, Jiahao
    Guo, Xiaoyu
    ISA TRANSACTIONS, 2024, 146 : 236 - 248
  • [9] Predefined-Time Nonsingular Sliding Mode Control and Its Application to Nonlinear Systems
    Jia, Chao
    Liu, Xiaohua
    Xu, Jingyu
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (04) : 5829 - 5837
  • [10] Unified Predefined-Time Stability Theorem and Sliding Mode Control for Fractional-Order Nonlinear Systems
    Liu, Jingang
    Li, Ruiqi
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2025, 48 (05) : 5755 - 5767