• DocumentCode
    1835415
  • Title

    Fuel Optimal Maneuver of Passive and Periodic Satellite Formation: Linear Programming Approach

  • Author

    Guangyan Xu ; Tingting Yu

  • Author_Institution
    Autom. Dept., Shenyang Aerosp. Univ., Shenyang, China
  • Volume
    2
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Along with the rapid development of small satellite technology, satellite formation flying is increasingly active. In this paper, the relative motion dynamics are described by the orbital element differences. Optimization problem restrained by relative motion differential equations are transformed into linear programming problem constrained by algebra through approximate discretization method. This paper primarily presents the fuel-optimal maneuver control algorithm for the satellite formation Based on linear programming trajectory planning problem. Using MATLAB numerical simulation, the control law is applied to maneuver control of the natural periodic formation for the satellite under the perturbation. Simulation results show the effectiveness of the proposed control scheme.
  • Keywords
    aerospace control; artificial satellites; fuel optimal control; numerical analysis; optimisation; trajectory control; MATLAB numerical simulation; approximate discretization; fuel optimal maneuver control; linear programming problem; linear programming trajectory planning problem; motion dynamics; natural periodic formation; optimization problem; orbital element differences; passive satellite formation; periodic satellite formation; relative motion differential equations; small satellite technology; Aerodynamics; Linear programming; Optimal control; Optimization; Orbits; Satellites; Space vehicles; discretization; linear programming; optimal control; satellite formation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.187
  • Filename
    6642715