• DocumentCode
    2346394
  • Title

    Robust Trajectory Design Scheme under Uncertainties and Perturbations for Mars Entry Vehicle

  • Author

    Hongying Xu ; Hutao Cui

  • Author_Institution
    Dept. Deep Space Exploration, Harbin Inst. of Technol. Harbin, Harbin, China
  • fYear
    2015
  • fDate
    13-14 Feb. 2015
  • Firstpage
    762
  • Lastpage
    766
  • Abstract
    For improving landing accuracy on future Mars missions, robust entry guidance schemes are required to improve landing accuracy. This paper analyzes the desensitized optimal trajectory design algorithm which augments the original fuel minimizing performance metric using a specific function of a sensitivity matrix to generate a trajectory. The trajectory is less sensitive to state uncertainties and perturbations. To enable the consideration of parameter uncertainties such as atmospheric density and aerodynamic characteristics, they can be treated as additional state and propagated using trivial dynamics in the trajectory design process. Simulation results indicate that the proposed trajectory design method considering all uncertainties and perturbations is able to generate a more robust trajectory.
  • Keywords
    Mars; aerospace control; control system synthesis; matrix algebra; perturbation techniques; robust control; trajectory control; uncertain systems; Mars entry vehicle; aerodynamic characteristics; atmospheric density; desensitized optimal trajectory design algorithm; fuel minimizing performance metric; landing accuracy; robust entry guidance schemes; sensitivity matrix; state perturbations; state uncertainties; trivial dynamics; Aerodynamics; Atmospheric modeling; Mars; Sensitivity; Trajectory; Uncertainty; Vehicles; Desensitized optimal control; Mars entry phase; trajectory design; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4799-6022-4
  • Type

    conf

  • DOI
    10.1109/CICT.2015.132
  • Filename
    7078805