• DocumentCode
    2333484
  • Title

    Real-time planning for hypersonic vehicle in the case of a very small memory

  • Author

    Meng, Zhongjie ; Shen, Haibing ; Chen, Kai ; Huang, Panfeng ; Yan, Jie

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    996
  • Lastpage
    1000
  • Abstract
    To improve the viability of hypersonic vehicle in the dynamic environment, the study of real-time trajectory planning has a great value. The high speed of the vehicle determines a higher planning speed. The current level of airborne digital computer determines a very small memory and computing time. All of the limits make the planning more difficult. The viable strategy and the algorithm named improved variable step sparse A* algorithm (IVSSAS) are designed. The trajectory planner based on ADSP-21364 and the simulated flight software are developed. A lot of experiments are carried out on simulate flight test. All the tests validate that the strategy and algorithm are effective upon a very small memory. From the results of the flight simulation, the trajectory can dodge all kinds of real-time threat and satisfy the flight command of hypersonic vehicle.
  • Keywords
    aerospace engineering; aerospace simulation; planning (artificial intelligence); real-time systems; ADSP-21364; airborne digital computer; dynamic environment; hypersonic vehicle; improved variable step sparse A* algorithm; real-time planning; real-time trajectory planning; simulated flight software; trajectory planner; Aerospace simulation; Aircraft; Algorithm design and analysis; Computational modeling; Computer simulation; Meeting planning; Strategic planning; Testing; Trajectory; Vehicle dynamics; IVSSAS; hypersonic vehicle; the memory limit; trajectory planner; trajectory planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138350
  • Filename
    5138350