Cristin-resultat-ID: 2197198
Sist endret: 7. mars 2024, 15:15
NVI-rapporteringsår: 2023
Resultat
Vitenskapelig artikkel
2023

Antiswing Control and Trajectory Planning for Offshore Cranes

Bidragsytere:
  • Ronny Landsverk
  • Jing Zhou og
  • Daniel Hagen

Tidsskrift

Proceedings of the Annual Conference of the IEEE Industrial Electronics Society (IECON)
ISSN 1553-572X
e-ISSN 2577-1647
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2023
Publisert online: 2023

Beskrivelse Beskrivelse

Tittel

Antiswing Control and Trajectory Planning for Offshore Cranes

Sammendrag

Safe handling of heavy payloads in an offshore environment requires careful crane maneuvering to avoid collision with obstacles and other equipment. The residual swing from a hanging payload can ultimately lead to danger and high cost failures if not properly dealt with. This paper investigates an openloop control method for eliminating the payload swing for hanging loads on offshore knuckle-boom cranes. A trajectory tracking method is designed for payload swing suppression for open-loop control and based on the iterative learning algorithm. It is shown that the proposed anti-swing control method guarantees asymptotic convergence of the swing, the angular velocity, and the angular acceleration of the payload using Lyapunov techniques. The simulation results show the superior performance of the proposed anti-swing control method.

Bidragsytere

Ronny Landsverk

  • Tilknyttet:
    Forfatter
    ved Institutt for ingeniørvitenskap ved Universitetet i Agder

Jing Zhou

  • Tilknyttet:
    Forfatter
    ved Institutt for ingeniørvitenskap ved Universitetet i Agder
Aktiv cristin-person

Daniel Hagen

  • Tilknyttet:
    Forfatter
    ved Institutt for ingeniørvitenskap ved Universitetet i Agder
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