Event-triggered finite-time stabilization of maglev system with output constraint

被引:0
|
作者
Li J.-J. [1 ]
Han Z.-F. [2 ]
Sun Z.-Y. [1 ]
Tan Q.-Q. [3 ]
Meng Q.-H. [4 ]
机构
[1] Institute of Automation, Qufu Normal University, Qufu
[2] School of Education, Qufu Normal University, Qufu
[3] Earthquake Administration of Beijing Municipality, Beijing
[4] School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou
来源
Kongzhi yu Juece/Control and Decision | 2024年 / 39卷 / 03期
关键词
barrier Lyapunov function; event-triggered; finite-time stabilization; maglev system; output constraint;
D O I
10.13195/j.kzyjc.2022.1289
中图分类号
学科分类号
摘要
This paper investigates the finite-time stabilization via the event triggered scheme of a maglev system with output constraint. Combining the finite-time trigger strategy with a time-varying threshold and a tangential barrier function, a new event-triggered controller is presented, which not only ensures that the suspension air gap of the maglev system is confined to a specified range but also guarantees that states converge to the origin within a finite time. The innovation lies in the fact that the design and the theory analysis for the constrained and unconstrained output are unified. Finally, the practical simulation is provided to demonstrate the effectiveness of the proposed method. © 2024 Northeast University. All rights reserved.
引用
收藏
页码:861 / 866
页数:5
相关论文
共 21 条
  • [1] Barie W, Chiasson J., Linear and nonlinear state-space controllers for magnetic levitation, International Journal of Systems Science, 27, 11, pp. 1153-1163, (1996)
  • [2] Zaheer A, Salman M, Mehdi N., Sampled-data output feedback regulation of magnetic levitation system, IEEE International Symposium on Industrial Electronics, pp. 1-6, (2013)
  • [3] Mizuno T, Takasaki M, Ishino Y., Controllability and observability of parallel magnetic suspension systems, Asian Journal of Control, 18, 4, pp. 1313-1327, (2016)
  • [4] Li Y, Cai B, Song X Y, Et al., Modeling of maglev yaw system of wind turbines and its robust trajectory tracking control in the levitating and landing process based on ndob, Asian Journal of Control, 21, 2, pp. 770-782, (2019)
  • [5] Lan Y P, Li J., Adaptive fuzzy sliding mode control for magnetic suspension system of linear synchronous motor, Control and Decision, 36, 3, pp. 693-698, (2021)
  • [6] Liu D S, Li J, Zhang K., The design of the nonlinear suspension controller for EMS maglev train based on feedback linearization, Journal of National University of Defense Technology, 27, 2, pp. 96-101, (2005)
  • [7] Liu Y J, Zeng Q, Tong S C, Et al., Actuator failure compensation-based adaptive control of active suspension systems with prescribed performance, IEEE Transactions on Industrial Electronics, 67, 8, pp. 7044-7053, (2020)
  • [8] Li X H, Zhang W D, Wang Y Y., Simultaneous fault estimation for Markovian jump systems with generally uncertain transition rates: A reduced-order observer approach, IEEE Transactions on Industrial Electronics, 67, 9, pp. 7889-7897, (2020)
  • [9] Liu Y G., Global finite-time stabilization via time-varying feedback for uncertain nonlinear systems, SIAM Journal on Control and Optimization, 52, 3, pp. 1886-1913, (2014)
  • [10] Sun Z Y, Xue L R, Zhang K M., A new approach to finite-time adaptive stabilization of high-order uncertain nonlinear system, Automatica, 58, pp. 60-66, (2015)