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Model order reduction methods applied to a welding model
University West, Department of Engineering Science, Division of Process and Product Development. University West, Department of Engineering Science, Division of Electrical and Automation Engineering. (PTW)ORCID iD: 0000-0001-5734-294X
University West, Department of Engineering Science, Division of Electrical and Automation Engineering. (PTW)ORCID iD: 0000-0001-5608-8636
University West, Department of Engineering Science, Division of Process and Product Development. (PTW)
2012 (English)In: Proceedings of the Institution of mechanical engineers. Part I, journal of systems and control engineering, ISSN 0959-6518, E-ISSN 2041-3041, Vol. 226, no 7, 972-984 p.Article in journal (Refereed) Published
Abstract [en]

A  finite element representation modelling transient heat conduction of gas tungsten arc welding of stainless steel is used to evaluate different methods for model order reduction. The focus is on establishing a linear low-order model of the dynamic  relation between the welding current and the temperature measured by a radiation pyrometer. The objective of this low-order model is to design a model-based feedback controller and to investigate the consequences of applying feedback control of the process. Three different approaches for model reduction have been evaluated, namely the Krylov subspace method for moment    matching, balanced truncation and parametric system identification. The study provides a knowledge base for the selection of model order reduction methods when dealing with large-scale systems like finite element models of transient heat conduction, and it recommends parametric system identification. It renders sufficient approximations for controller design, no linearization of the finite element model is required, and there is no limit on degrees of freedom of the finite element model.

Place, publisher, year, edition, pages
Sage Publications, 2012. Vol. 226, no 7, 972-984 p.
Keyword [en]
balanced truncation; Finite element modelling; model order reduction; moment matching; parametric system identification; welding.
National Category
Manufacturing, Surface and Joining Technology
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-2864DOI: 10.1177/0959651812440910ISI: 000309208800011Scopus ID: 2-s2.0-84870437443OAI: oai:DiVA.org:hv-2864DiVA: diva2:372571
Available from: 2010-11-26 Created: 2010-11-26 Last updated: 2016-02-08Bibliographically approved
In thesis
1. Modeling and simulation for welding automation
Open this publication in new window or tab >>Modeling and simulation for welding automation
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers, 2010. 158 p.
Series
Doktorsavhandlingar vid Chalmers tekniska högskola, ISSN 0346-718X ; 3132
Keyword
welding automation, fixturing, finite element modeling, heat conduction, model order reduction, sensors, welding simulation, controller design
National Category
Manufacturing, Surface and Joining Technology
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-2870 (URN)978-91-7385-451-1 (ISBN)
Available from: 2010-12-03 Created: 2010-11-29 Last updated: 2016-02-09Bibliographically approved

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Sikström, FredrikChristiansson, Anna-KarinLennartson, Bengt
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Manufacturing, Surface and Joining Technology

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