4.5 Article

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

Journal

Publisher

WILEY
DOI: 10.1002/acs.3458

Keywords

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

Funding

  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]

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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.

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