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A new Combined Optimisation Algorithm for Sheet-Metal Press Line Tuning
University West, Department of Engineering Science, Division of Automation and Computer Engineering. (PTW)ORCID iD: 0000-0002-8878-2718
University West, Department of Engineering Science, Division of Automation and Computer Engineering. (PTW)ORCID iD: 0000-0002-6604-6904
2012 (English)In: Proceedings of the 5th International Swedish Production Symposium, SPS12: 6th-8th of November 2012 Linköping, Sweden / [ed] Mats Björkman, Linköping: Produktionsakademien, The Swedish Production Academy , 2012, p. 479-485Conference paper, Published paper (Refereed)
Abstract [en]

This paper shows how a new combined optimisation algorithm can improve the efficiency in simulation-based parameter tuning of sheet-metal press lines. In automotive tandem sheet-metal press lines there are a number of critical interactions between moving parts to consider during the loading and unloading motions. All these interactions, both within each station and between the stations, are time-critical and must be synchronised to reach high production rates and avoid collisions. This cause conditions such as a highly non-linear objective functions with multiple local optima, considerable number of parameters, and long evaluation times. It is a great challenge to obtain an efficient direct search algorithm for global multi-criteria optimisation fulfilling all these conditions.

The new combined algorithm starts with the Lipschitzian algorithm DIRECT as global search and then switches over to the Nelder-Mead simplex algorithm for local convergence. Furthermore, during the switch over, the algorithm determines all local candidates of the set of points evaluated by DIRECT, and starts multiple Nelder-Mead local searches in each of these.

Place, publisher, year, edition, pages
Linköping: Produktionsakademien, The Swedish Production Academy , 2012. p. 479-485
Keywords [en]
Simulation-based optimisation, non-gradient optimisation algorithm, hardware-in-the-loop, continous simulation, PLC
National Category
Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-4831ISBN: 978-91-7519-752-4 (print)OAI: oai:DiVA.org:hv-4831DiVA, id: diva2:572114
Conference
5th International Swedish Production Symposium, Linköping, Sweden, Nov 2012
Available from: 2012-11-26 Created: 2012-11-26 Last updated: 2018-08-09Bibliographically approved

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Svensson, BoDanielsson, Fredrik

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