• DocumentCode
    619691
  • Title

    Hybrid modeling and predictive control of a fractionated satellite system: A mixed logical dynamical approach

  • Author

    Xiaoping Shi ; Hailong Liu ; Long Li

  • Author_Institution
    Control & Simulation Center, Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    198
  • Lastpage
    203
  • Abstract
    This paper proposes a model and predictive control of a fractionated satellite system by using Mixed Logic Dynamical (MLD) approach. The power management system of a fractionated satellite can be seen as a hybrid system, which includes discrete dynamics, continuous dynamics, and logic rules. Discrete features of the power management system are the different types of flight modes and discrete inputs. On the other hand, continuous dynamics feature is power consumption process in each mode. The union of these properties characterizes the hybrid behavior of a power management system. In order to model both the discrete/continuous dynamics and the switching between different flight modes, the MLD framework has been exploiting. Then, predictive control scheme is proposed to control this hybrid system. To illustrate the effectiveness of the proposed approach, some numerical simulations are shown.
  • Keywords
    aerospace control; artificial satellites; numerical analysis; power consumption; predictive control; MLD approach; continuous dynamics; discrete dynamics; flight modes; fractionated satellite system; hybrid modeling; hybrid system; logic rules; mixed logical dynamical approach; numerical simulations; power consumption; power management system; predictive control; Hybrid power systems; Imaging; Mathematical model; Predictive control; Predictive models; Satellites; Space vehicles; Fractionated satellite; Hybrid system; Mix logical dynamics; Modeling; Predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6560920
  • Filename
    6560920