Multiobjective optimization applied to structural sizing of low cost university-class microsatellite projects

Ravanbakhsh, Alí and Franchini, Sebastian Nicolas (2012). Multiobjective optimization applied to structural sizing of low cost university-class microsatellite projects. "Acta Astronautica", v. 79 ; pp. 212-220. ISSN 0094-5765. https://doi.org/10.1016/j.actaastro.2012.04.011.

Description

Title: Multiobjective optimization applied to structural sizing of low cost university-class microsatellite projects
Author/s:
  • Ravanbakhsh, Alí
  • Franchini, Sebastian Nicolas
Item Type: Article
Título de Revista/Publicación: Acta Astronautica
Date: October 2012
Volume: 79
Subjects:
Faculty: Instituto de Microgravedad Ignacio Da Riva (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview

Abstract

In recent years, there has been continuing interest in the participation of university research groups in space technology studies by means of their own microsatellites. The involvement in such projects has some inherent challenges, such as limited budget and facilities. Also, due to the fact that the main objective of these projects is for educational purposes, usually there are uncertainties regarding their in orbit mission and scientific payloads at the early phases of the project. On the other hand, there are predetermined limitations for their mass and volume budgets owing to the fact that most of them are launched as an auxiliary payload in which the launch cost is reduced considerably. The satellite structure subsystem is the one which is most affected by the launcher constraints. This can affect different aspects, including dimensions, strength and frequency requirements. In this paper, the main focus is on developing a structural design sizing tool containing not only the primary structures properties as variables but also the system level variables such as payload mass budget and satellite total mass and dimensions. This approach enables the design team to obtain better insight into the design in an extended design envelope. The structural design sizing tool is based on analytical structural design formulas and appropriate assumptions including both static and dynamic models of the satellite. Finally, a Genetic Algorithm (GA) multiobjective optimization is applied to the design space. The result is a Pareto-optimal based on two objectives, minimum satellite total mass and maximum payload mass budget, which gives a useful insight to the design team at the early phases of the design.

More information

Item ID: 15669
DC Identifier: http://oa.upm.es/15669/
OAI Identifier: oai:oa.upm.es:15669
DOI: 10.1016/j.actaastro.2012.04.011
Official URL: http://www.sciencedirect.com/science/article/pii/S0094576512001245
Deposited by: Memoria Investigacion
Deposited on: 22 Oct 2013 17:23
Last Modified: 21 Apr 2016 15:55
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM