• DocumentCode
    2213956
  • Title

    Novel aeroassisted orbital transfer optimal guidance algorithm for reentry vehicle

  • Author

    Guo, Tao ; Liu, Dawei ; Xia, Qunli

  • Author_Institution
    Sch. of Aerosp. Eng., Beijing Inst. of Technol., BIT, Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    A new optimal guidance algorithm for aeroassisted orbital transfer of reentry vehicle is presented. The complex aeroassisted orbital transfer guidance problem is translated into a trajectory optimization problem which is solved with optimal control theory. Based on the simplified dynamic equations, the Hamilton function and adjoint state equation for optimization is built. Sequentially, the problem is simplified with judicious selection of control variables and steering law, and all the constraints must be met. The accuracy under dispersed flight environment is enhanced with the use of close-loop real-time computation in the algorithm. The efficiency and faster convergence of the optimal algorithm is established through simulations, and the advantage of this arithmetic is validated in simulation. Thus, it is helpful to use this algorithm to solve the practical engineering trajectory optimization problems with complicated models. The proposed guidance algorithm is fairly generic and independent missions as well as vehicle configurations.
  • Keywords
    closed loop systems; optimal control; optimisation; position control; space vehicles; steering systems; vehicle dynamics; Hamilton function; adjoint state equation; aeroassisted orbital transfer; close-loop realtime computation; dispersed flight environment; optimal control theory; optimal guidance algorithm; reentry vehicle; steering law; trajectory optimization problem; Equations; Navigation; aeroassisted orbital transfer; guidance algorithm; optimal control; reentry vehicle; trajectory optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5578951
  • Filename
    5578951