A new design method of fuzzy sliding mode controller

被引:0
|
作者
Kang Z. [1 ,2 ]
Jia L.-M. [1 ,2 ]
Qin Y. [1 ,2 ]
机构
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing
[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing
来源
Kongzhi yu Juece/Control and Decision | 2024年 / 39卷 / 06期
关键词
exponential reaching law; external disturbance; fuzzy system; global fast terminal sliding mode control; sliding mode control; sliding mode surface;
D O I
10.13195/j.kzyjc.2022.1771
中图分类号
学科分类号
摘要
A new design method of a fuzzy sliding mode controller is proposed for a class of uncertain systems with large and unobservable external disturbances. Firstly, based on the principle of fuzzy sliding mode control, global fast terminal sliding mode control is introduced to make the system reach a steady state in a limited time. Then an adaptive disturbance estimation term compensated by the absolute value of the derivative of the Lyapunov function is constructed to conduct an accurate estimation of external disturbances. Furthermore, a double-layer hierarchical and exponential reaching law global fast terminal fuzzy sliding mode controller is proposed. The dynamic quality of the sliding mode surface is adjusted by the exponential reaching law. The controller can quickly converge to a stable state and effectively eliminate the chattering of the controller. Finally, the effectiveness of the proposed method is verified by a simulation example. © 2024 Northeast University. All rights reserved.
引用
收藏
页码:1909 / 1917
页数:8
相关论文
共 25 条
  • [1] Wu L G, Liu J X, Vazquez S, Et al., Sliding mode control in power converters and drives: A review, IEEE/CAA Journal of Automatica Sinica, 9, 3, pp. 392-406, (2021)
  • [2] Chen Q, Zhu J H, Tao M L., Spacecraft attitude control based on two-phase power reaching law, Control and Decision, 37, 5, pp. 1145-1152, (2022)
  • [3] Han H G, Qin C H, Sun H Y, Et al., Adaptive sliding mode control for municipal wastewater treatment process, Acta Automatica Sinica, 49, 5, pp. 1010-1018, (2023)
  • [4] Liang H H, Wu W, Lou X Y, Et al., Sliding mode control of two-dimensional overhead crane, Control and Decision, 37, 8, pp. 2163-2169, (2022)
  • [5] Ma Z Q, Huang P F, Kuang Z A., Fuzzy approximate learning-based sliding mode control for deploying tethered space robot, IEEE Transactions on Fuzzy Systems, 29, 9, pp. 2739-2749, (2021)
  • [6] Van M, Ge S S., Adaptive fuzzy integral sliding-mode control for robust fault-tolerant control of robot manipulators with disturbance observer, IEEE Transactions on Fuzzy Systems, 29, 5, pp. 1284-1296, (2021)
  • [7] Drakunov S V, Utkin V I., Sliding mode control in dynamic systems, International Journal of Control, 55, 4, pp. 1029-1037, (1992)
  • [8] Yu R, Xu X F, Zhou H, Et al., Underactuated USV sliding mode trajectory tracking control based on improved switching gain adaptive rate, Journal of Zhejiang University: Engineering Science, 56, 3, pp. 436-443, (2022)
  • [9] Wang Y Y, Zhu K W, Chen B, Et al., Model-free continuous nonsingular fast terminal sliding mode control for cable-driven manipulators, ISA Transactions, 98, pp. 483-495, (2020)
  • [10] Yang J Q, Gao Y X, Chen Y T, Et al., Disturbance observer-based terminal sliding mode controller design for uncertain nonlinear systems, Control and Decision, 35, 1, pp. 155-160, (2020)