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Time-optimal control of cranes subject to container height constraints
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2022 (English)In: Proceedings of 2022 American Control Conference (ACC), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 3558-3563Conference paper, Published paper (Other academic)
Abstract [en]

The productivity and efficiency of port operations strongly depend on how fast a ship can be unloaded and loaded again. With this in mind, ship-to-shore cranes perform the critical task of transporting containers into and onto a ship and must do so as fast as possible. Though the problem of minimizing the time spent in moving the payload has been addressed in previous studies, the different heights of the container stacks have not been the focus. In this paper, we perform a change of variable and reformulate the optimization problem to deal with the constraints on the stack heights. As consequence, these constraints become trivial and easy to represent since they turn into bound constraints when the problem is discretized for the numerical solver. To validate the idea, we simulate a small-scale scenario where different stack heights are used. The results confirm our idea and the representation of the stack constraints become indeed trivial. This approach is promising to be applied in real crane operations and has the potential to enhance their automation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 3558-3563
Series
Proceedings of the American Control Conference, ISSN 0743-1619, E-ISSN 2378-5861
National Category
Computational Mathematics Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-188856DOI: 10.23919/ACC53348.2022.9867816ISI: 000865458703073ISBN: 9781665451963 (electronic)ISBN: 9781665451970 (electronic)ISBN: 9781665494809 (print)OAI: oai:DiVA.org:liu-188856DiVA, id: diva2:1699674
Conference
American Control Conference (ACC), 08-10 June 2022, Atlanta, GA, USA
Note

Funding: VINNOVA Competence Center LINK-SIC

Available from: 2022-09-28 Created: 2022-09-28 Last updated: 2022-11-16Bibliographically approved

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Löfberg, Johan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
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Output format
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