Authors

Zongbin Hou, Ruihao Sui, Yuan Chen

Abstract

Cable-driven wave motion compensation devices are essential for safe maritime operations, including offshore supply missions and marine engineering tasks. In suspended cable configurations, the dynamic performance is inherently constrained by payload weight, since gravity not only enables force closure but also limits the available control authority. Moreover, the system is constantly subjected to wave-induced disturbances, which exacerbate platform oscillations and further challenge controller robustness. To tackle these issues, a novel passivity-based control approach is proposed in this paper that integrates fast terminal sliding mode control with adaptive damping modulation. Specifically, a port-Hamiltonian sliding mode control framework is established to ensure finite-time convergence under energy dissipation constraints, while a bimodal damping modulation strategy is introduced to dynamically regulate system damping for balancing convergence rate and vibration suppression. In addition, a cascaded observer is proposed to reconstruct disturbances and mitigate sensor noise. The global stability of the closed-loop system is rigorously established based on Lyapunov analysis. Simulation and experimental results demonstrate that, under comparable force output levels, the proposed controller reduces the Integral of Time-weighted Absolute Error index by 58 % and 55 %, respectively, thereby achieving improved steady-state performance. The robustness of the proposed controller is further confirmed by sea trials.

Keywords

cascaded observer, damping modulation, fast terminal sliding mode, port-hamiltonian system, wave motion compensation

Citation

  • Journal: Information Sciences
  • Year: 2026
  • Volume: 726
  • Issue:
  • Pages: 122742
  • Publisher: Elsevier BV
  • DOI: 10.1016/j.ins.2025.122742

BibTeX

@article{Hou_2026,
  title={{Passivity-based variable damped sliding mode control for cable-driven wave motion compensation device under hybrid disturbances}},
  volume={726},
  ISSN={0020-0255},
  DOI={10.1016/j.ins.2025.122742},
  journal={Information Sciences},
  publisher={Elsevier BV},
  author={Hou, Zongbin and Sui, Ruihao and Chen, Yuan},
  year={2026},
  pages={122742}
}

Download the bib file

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