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

Ravanbakhsh, Alí y 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.

Descripción

Título: Multiobjective optimization applied to structural sizing of low cost university-class microsatellite projects
Autor/es:
  • Ravanbakhsh, Alí
  • Franchini, Sebastian Nicolas
Tipo de Documento: Artículo
Título de Revista/Publicación: Acta Astronautica
Fecha: Octubre 2012
Volumen: 79
Materias:
Escuela: Instituto de Microgravedad Ignacio Da Riva (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 15669
Identificador DC: http://oa.upm.es/15669/
Identificador OAI: oai:oa.upm.es:15669
Identificador DOI: 10.1016/j.actaastro.2012.04.011
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0094576512001245
Depositado por: Memoria Investigacion
Depositado el: 22 Oct 2013 17:23
Ultima Modificación: 21 Abr 2016 15:55
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