• DocumentCode
    623299
  • Title

    Ascending trajectory optimization of near-space airship based on Genetic Algorithm

  • Author

    Xiaoguang Di ; Yafei Yang

  • Author_Institution
    Control & Simulation Center, Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    918
  • Lastpage
    922
  • Abstract
    The energy consumption of near-space airship during the ascending phase has an direct effect on its payload capability. Because of that, it is necessary to research on trajectory optimization of airship. At first, the models of various wind interference are given from the ground to the stratosphere and the trajectory optimization scheme of airship based on numerical method is proposed. Secondly, direct collocation method will be used to convert the optimal control problem into a parameter optimization problem, then Genetic Algorithm (GA) will be used to solve the nonlinear programming. Thirdly, the ascending trajectory is divided into three phases according to the altitude and wind interference. Finally, the simulation results of the trajectory optimization from ground to the appointed position under the consideration of wind interference will be shown.
  • Keywords
    aerodynamics; airships; energy consumption; genetic algorithms; nonlinear programming; numerical analysis; optimal control; trajectory control; wind; airship trajectory optimization scheme; ascending trajectory optimization; direct collocation method; energy consumption; genetic algorithm; near-space airship; nonlinear programming; numerical method; optimal control problem; parameter optimization problem; payload capability; stratosphere; wind interference; Aerodynamics; Atmospheric modeling; Genetic algorithms; Interference; Mathematical model; Optimization; Trajectory; genetic algorithm; near-space airship; trajectory optimization; wind influence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-6320-4
  • Type

    conf

  • DOI
    10.1109/ICIEA.2013.6566498
  • Filename
    6566498