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Early phase design-optimization of mechatronic systems
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-7550-3134
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
2017 (English)In: ICCMA 2017 Proceedings of the 2017 The 5th International Conference on Control, Mechatronics and Automation, Association for Computing Machinery (ACM), 2017, p. 42-49Conference paper, Published paper (Refereed)
Abstract [en]

Methodologies on design optimization of mechatronic systems are usually based on consecutive methods, i.e., the procedure of physical design, control and optimization of a system is performed step by step to achieve the final goal. This paper is built upon previous works on developing a toolbox to integrate several engineering backgrounds in early design phase to avoid time and cost consuming iterations in later deign steps. The previous methodology was mainly applicable for linear one-degree of freedom systems without time-variant dynamics. In this paper, the method is upgraded towards covering concepts on nonlinear systems where extra degrees of freedom are added to the system. Additionally, the library of the mentioned toolbox is extended to include ball-screw drive and rotational rigid beam components in terms of physical design, dynamic and static models to examine the feasibility of the design. A conceptual nonlinear multi-degree design case is presented and linearized at specified operational points in the supported software framework and the implemented models are verified in both SimMechanics and Simulink.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017. p. 42-49
Series
ACM International Conference Proceeding Series
Keywords [en]
Design Optimization, IDIOM Framework, MIMO Systems, Nonlinear dynamics
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-224391DOI: 10.1145/3149827.3149838Scopus ID: 2-s2.0-85041913500ISBN: 9781450353397 OAI: oai:DiVA.org:kth-224391DiVA, id: diva2:1191478
Conference
5th International Conference on Control, Mechatronics and Automation, ICCMA 2017, University of AlbertaEdmonton, Canada, 11 October 2017 through 13 October 2017
Note

QC 20180319

Available from: 2018-03-19 Created: 2018-03-19 Last updated: 2018-03-19Bibliographically approved

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Wikander, JanFrede, Daniel

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CiteExportLink to record
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Citation style
  • apa
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Output format
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