• DocumentCode
    7611
  • Title

    Artificial bee colony???based direct collocation for reentry trajectory optimization of hypersonic vehicle

  • Author

    Haibin Duan ; Shuangtian Li

  • Author_Institution
    Beihang Univ., Beijing, China
  • Volume
    51
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan-15
  • Firstpage
    615
  • Lastpage
    626
  • Abstract
    Reentry trajectory planning has become a key issue because of the rapid development of hypersonic vehicles. In this paper, an artificial bee colony (ABC)-based direct collocation method is proposed for reentry trajectory optimization. First, the reentry trajectory optimization problem is elaborated. The principles of the ABC algorithm are then introduced. Finally, the ABC-based direct collocation method is proposed. The control variables are discretized at a set of Legendre-Gauss collocation points and are optimized with the ABC approach. The parameters in ABC are assigned in terms of both the performance and the time cost of the algorithm. A penalty factor is adopted to modify the fitness value of some particular individuals in the colony so that every individual can be fully used. Series of comparative experimental results verify the feasibility and effectiveness of our proposed method. Further discussions and simulations are given for analyzing the impact of ABC parameters on the performance of the method.
  • Keywords
    aircraft control; optimisation; path planning; trajectory optimisation (aerospace); ABC parameter assignment; ABC-based direct collocation method; Legendre-Gauss collocation points; algorithm performance analysis; artificial bee colony-based direct collocation; control variable optimization; discretized control variables; fitness value; hypersonic vehicle; penalty factor; reentry trajectory optimization; reentry trajectory planning; time cost; Aerodynamics; Cost function; Heating; Trajectory; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2014.120654
  • Filename
    7073517