Reference : Comparison of Multidisciplinary Design Optimization Architectures for the design of D...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/44677

Title :	Comparison of Multidisciplinary Design Optimization Architectures for the design of Distributed Space Systems
Language :	English
Author, co-author :	Pandi Perumal, Raja [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
	Voos, Holger [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
	Dalla Vedova, Florio [LuxSpace Sàrl. > > Head of Technology Development]
	Moser, Hubert [LuxSpace Sarl > > Head of Microsatellite Solutions]
Publication date :	Oct-2020
Main document title :	Proceedings of the 71st International Astronautical Congress 2020
Author, co-author :	Pandi Perumal, Raja
	Voos, Holger
	Dalla Vedova, Florio
	Moser, Hubert
Peer reviewed :	No
On invitation :	No
Audience :	International
Event name :	71st International Astronautical Congress - The Cyberspace Edition
Event date :	from 12-10-2020 to 14-10-2020
Event organizer :	International Astronautical Federation
Event place (city) :	Online
Event country :	Online
Keywords :	[en] Satellite Design ; Satellite System Engineering ; Distributed Space Systems ; Multidisciplinary Design Optimization Architecture
Abstract :	[en] Advancement in satellite technology, and the ability to mass-produce cost-effective small satellites has created a compelling interest in Distributed Space System (DSS), such as Low Earth Orbit (LEO) satellite constellations. Optimization of DSS is a complex Multidisciplinary Design Optimization (MDO) problem involving a large number of variables and coupling relations. This paper focuses on comparing three different MDO architectures for a DSS design problem. Initially, an overview of the constellation model, the subsystems model, and the coupling relationships between the subsystems and the constellation are provided. The modelling of the subsystems and the constellation configuration are carried out in OpenMDAO. Later, three monolithic MDO architectures, namely, Individual Discipline Feasible (IDF), Simultaneous Analysis and Design (SAND) and Multidisciplinary Feasible (MDF) are compared by implementing them to the developed DSS model. The results indicate IDF outperforms the rest of the architectures for the conceptual design of DSS. The optimum objective function obtained by IDF is 1% lower than SAND and 7% lower than MDF. While the functional evaluation required for IDF is 50% lower than SAND and 90% lower than MDF.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/44677
Mentions required by the publisher for OA :	Manuscript presented at the 71st International Astronautical Congress-The CyberSpace Edition, Oct 2020. Copyright by IAF
FnR project :	FnR ; FNR12687511 > Raja Pandi Perumal > > Development of a Decision Support System for Incorporating Risk Assessments during the System Design of Microsatellites > 01/04/2018 > 30/09/2021 > 2018

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	Fulltext file(s): File Commentary Version Size Access Open access IAC 2020.pdf Publisher postprint 860.45 kB View/Open Additional material(s): File Commentary Size Access Open access IAC-20,D1,4B,6,x58187.show.mp4 Video Presentation 194.68 MB View/Open

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