• DocumentCode
    87597
  • Title

    Hierarchical Fuzzy-Logic-Based Electrical Power Subsystem for Pico Satellite ERPSat-1

  • Author

    Neji, Bilel ; Hamrouni, Chafaa ; Alimi, Adel M. ; Nakajima, Hiroshi ; Alim, Aslan R.

  • Author_Institution
    State Univ. of New York at Buffalo, Buffalo, NY, USA
  • Volume
    9
  • Issue
    2
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    474
  • Lastpage
    486
  • Abstract
    Despite the recent advances in space technologies, electrical power systems are still challenging researchers developing small satellites for low earth orbit use. In order to supply their subsystems, these satellites can only use the power stored onboard from solar energy. Therefore, the electrical power system should ensure a maximum exploitation of energy sources and should optimize the distribution of the available electrical power. This paper introduces a new intelligent electrical power subsystem for pico satellites. It is based on fuzzy logic and hierarchical fuzzy logic algorithms allowing a faster energy storage and a better and efficient energy distribution. The developed subsystem is composed of three main blocks, which are the fuzzy maximum power point tracker, the power conditioner, and the hierarchical fuzzy subsystem controller. The intelligent electrical power subsystem was successfully integrated in ERPSat-1 pico satellite. Furthermore, the simulations and experimental data of the proposed system have shown better results compared to other architectures used for previous small satellite electrical power subsystems.
  • Keywords
    aircraft power systems; artificial satellites; fuzzy set theory; maximum power point trackers; ERPSat-1; energy distribution; fuzzy maximum power point tracker; hierarchical fuzzy logic algorithms; hierarchical fuzzy subsystem controller; hierarchical fuzzy-logic-based electrical power subsystem; intelligent electrical power subsystem; pico satellite; power conditioner; Computer architecture; Photovoltaic cells; Photovoltaic systems; Power systems; Satellites; Temperature; Fuzzy maximum power point (MPP) tracker; hierarchical fuzzy power management; pico satellite; power conditioning;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2013.2285659
  • Filename
    6658857