Reference : Comparison of Multidisciplinary Design Optimization Architectures for the design of D...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Computational Sciences
Comparison of Multidisciplinary Design Optimization Architectures for the design of Distributed Space Systems
Pandi Perumal, Raja mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Voos, Holger mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Dalla Vedova, Florio mailto [LuxSpace Sàrl. > > Head of Technology Development]
Moser, Hubert mailto [LuxSpace Sarl > > Head of Microsatellite Solutions]
Proceedings of the 71st International Astronautical Congress 2020
Pandi Perumal, Raja mailto
Voos, Holger mailto
Dalla Vedova, Florio mailto
Moser, Hubert mailto
71st International Astronautical Congress - The Cyberspace Edition
from 12-10-2020 to 14-10-2020
International Astronautical Federation
[en] Satellite Design ; Satellite System Engineering ; Distributed Space Systems ; Multidisciplinary Design Optimization Architecture
[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.
Researchers ; Professionals
Manuscript presented at the 71st International Astronautical Congress-The CyberSpace Edition, Oct 2020. Copyright by IAF
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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