• DocumentCode
    2613398
  • Title

    Trajectory planning for hypersonic vehicle using improved sparse A* algorithm

  • Author

    Meng, Zhongjie ; Huang, Panfeng ; Yan, Jie

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    1152
  • Lastpage
    1157
  • Abstract
    The trajectory planning of hypersonic vehicle is an important problem for its safe flight. This paper analyzes the characteristics of trajectory planning for hypersonic vehicle and deduces the models of the threat field, the geometrical constraint, the aerothermal constraint and the constraint for fuel and path, which directly influence the flight trajectory of hypersonic vehicle. Here, we divided the trajectory planning into the mission level route planning and the tactical level rout planning with the hierarchical theory. Finally, the improved Sparse A* algorithm with variable step is designed and simulated. The simulation results verify that this method has the advantages of high speed and strong stability. The planned trajectory can satisfy all the flight demands of the hypersonic vehicle and can dodge all kinds of threat.
  • Keywords
    aerospace control; path planning; position control; robust control; vehicles; aerothermal constraint; fuel constraint; geometrical constraint; hypersonic vehicle; improved sparse A* algorithm; mission level route planning; path constraint; tactical level route planning; threat field; trajectory planning; Algorithm design and analysis; Fuels; Intelligent vehicles; Performance analysis; Power system planning; Process planning; Space vehicles; Technology planning; Trajectory; Vehicle safety; Hypersonic vehicle; hierarchical theory; sparse A*algorithm with variable step; trajectory planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601825
  • Filename
    4601825