4.5 Article

Adaptive hierarchical sliding mode controller for tower cranes based on finite time disturbance observer

出版社

WILEY
DOI: 10.1002/acs.3458

关键词

finite time disturbance observer; hierarchical sliding mode control; nonsingular fast terminal sliding mode surface; tower crane; unmatched disturbances

资金

  1. National Natural Science Foundation of China [61973167]
  2. Construction System Science and Technology Project of Jiangsu Province [2019ZD001244, 2019ZD001252]
  3. Postgraduate Research & Practice Innovation Program of Jiangsu Province [KYCX21_0314]

向作者/读者索取更多资源

A finite time disturbance observer (FTDO) based adaptive hierarchical sliding mode control (AHSMC) is proposed for tower crane systems with unknown disturbances. The FTDO is used to estimate both matched and unmatched disturbances, and a novel nonsingular fast terminal sliding mode (FTSM) surfaces is designed to improve system convergence. An AHSMC law is presented to ensure stability and control of the tower crane system. Simulation results demonstrate the effectiveness of the proposed strategy.
A finite time disturbance observer (FTDO) based adaptive hierarchical sliding mode control (AHSMC) is proposed for 4-DOF tower crane systems with unknown external disturbances. More specifically, to overcome the unknown disturbances, an FTDO combined with the designed adaptive observation error is presented to estimate both matched and unmatched disturbances. Then a new error dynamics taking into account the unmatched disturbances is defined, based on which, a novel nonsingular fast terminal sliding mode (FTSM) surfaces is designed to improve the convergence of system states. Finally, in order to ensure the stability of each subsystem, an AHSMC law incorporating the suggested FTSM-type reaching law is presented to realize the anti-sway and positioning control of tower crane system. The finite-time stability analysis of the closed-loop system is derived by Lyapunov technique, and simulation results verify the effectiveness of the presented control strategy.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据