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Interactive Multiobjective Optimization for a Grab-Shift Unloader Crane
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
ABB Corporate Research, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0003-3498-3204
ABB Crane Systems, Sweden.
2014 (English)In: Proceedings of the 19th IFAC World Congress, 2014Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, multiobjective optimization is applied to an optimal control problem for a grab-shift unloader crane. The crane is modeled as a cart-pendulum system with varying rope length and the trajectory of the grab is limited by the ship, the quay, and the crane structure. The objectives to minimize are chosen as time, energy and maximal instantaneous power. The optimal control problem is solved using a direct simultaneous optimal control method. The study shows that MOO can be an efficient tool when choosing a good compromise between conflicting objectives such as time and energy. Furthermore, navigation among the Pareto optimal solutions has proven to be very useful when a user wants to learn how the control variables interact with the process. 

Place, publisher, year, edition, pages
2014.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-111053OAI: oai:DiVA.org:liu-111053DiVA: diva2:752860
Conference
The 19th IFAC World Congress, South Africa, Cape Town, August 2014.
Available from: 2014-10-06 Created: 2014-10-06 Last updated: 2016-02-05

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Linder, Jonas

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