• DocumentCode
    622617
  • Title

    Robust adaptive control for a longitudinal model of mars airplane

  • Author

    Yanbin Liu ; Keming Yao ; Yuping Lu

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1814
  • Lastpage
    1818
  • Abstract
    In recent years, Mars airplane has been developed as a complete science-focused mission for the deep space exploration. However, the airplane flying in the complicated Mars environments must address some difficult issues that are not encountered for the traditional vehicles on earth. As a result, these issues, which need to be solved, present a large design challenge for Mars airplane. In this paper, the robust adaptive control methods for Mar airplane are put forwards in order to guarantee the flight stability and improve the system robustness under the uncertain flight conditions. First, a longitudinal model of Mars airplane is established according to the different flight altitudes and velocities. Then the dynamic characteristics of this model are analyzed so as to determine the control goals. Afterwards, the robust adaptive control system is designed based on the differential geometry theory and the backstepping method such that the proposed control law can meet the anticipated mission demands. Finally, the effectiveness of the proposed control systems is verified by using the numerical simulation, and the corresponding results show the flight stability and the track performance can be guaranteed for Mars airplane.
  • Keywords
    adaptive control; aircraft control; control system synthesis; differential geometry; nonlinear control systems; numerical analysis; robust control; space vehicles; uncertain systems; Mars airplane; backstepping method; deep space exploration; differential geometry theory; dynamic characteristics; flight altitudes; flight stability; flight velocities; longitudinal model; numerical simulation; robust adaptive control system design; system robustness improvement; track performance; uncertain flight conditions; Adaptation models; Aerodynamics; Airplanes; Atmospheric modeling; Mars; Mathematical model; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6565069
  • Filename
    6565069