Abstract
This paper presents a computational tool that has been specifically developed for evidence-based robust design problems. The paper starts with a brief overview of evidence theory and its use in system design. Then a tool to reduce the computational cost of computing the Belief and Plausibility is discussed. The tool is composed of an evolutionary algorithm for worst-case scenario optimization, and a decomposition technique applicable to space systems engineering. Finally, a test case of the preliminary design of a small spacecraft will illustrate the results of the evidence-based robust design optimization in comparison to the margin approach.
Original language | English |
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Number of pages | 21 |
Publication status | Published - Oct 2014 |
Event | 6th International Conference on Systems & Concurrent Engineering for Space Applications. SECESA 2014 - Stuttgart, Germany Duration: 8 Oct 2014 → 10 Oct 2014 |
Conference
Conference | 6th International Conference on Systems & Concurrent Engineering for Space Applications. SECESA 2014 |
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Country/Territory | Germany |
City | Stuttgart |
Period | 8/10/14 → 10/10/14 |
Keywords
- spacecraft
- spacecraft design
- space engineering