• DocumentCode
    3216827
  • Title

    On-Line Mass-Property Identification Algorithm Research for Satellite

  • Author

    Wang Shuting ; Cao Xibin

  • Author_Institution
    Res. Inst. of Satellite Technol., Harbin Inst. of Technol., China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    519
  • Lastpage
    524
  • Abstract
    The purpose of this paper is to identify the mass property of satellite under thrusters control on-line. Spacecraft control, state estimation, and fault-detection-and-isolation systems are affected by unknown variations in the vehicle mass properties. It is often difficult to accurately measure inertia terms on the ground, while mass properties can change on-orbit as fuel is expended, the configuration changes, or payloads are added or removed. Mass property identification is achieved through recursive least squares algorithms here, only based on gyro signals and thruster outputs. The approach addresses the issue by segmenting the problem into two sub-problems which both allow closed form solution. Implementing both recursively, and with each solution using the results of the other one to minimize the bias due to coupling. Simulation results indicate that this approach is simple and effective. The proposed solution is suitable in on-board real-time computation.
  • Keywords
    artificial satellites; attitude control; fault location; least squares approximations; mass measurement; recursive estimation; state estimation; bias minimization; fault detection; fault isolation; gyro signals; inertia measurement; online mass-property identification algorithm; recursive least squares; satellite; spacecraft control; state estimation; thruster outputs; vehicle mass properties; Closed-form solution; Control systems; Fuels; Least squares methods; Payloads; Satellites; Signal processing; Space vehicles; State estimation; Weight control; mass property; online identification; recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280626
  • Filename
    4060572