• DocumentCode
    2041219
  • Title

    Parachute Decelerate Trajectory Optimization Design Based on Genetic Algorithm

  • Author

    Yong, Zhu ; Li, Liu

  • Author_Institution
    Sch. of Aerosp. Sci. & Eng., Beijing Inst. of Technol., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the optimal parachute decelerating trajectory of mini-UAVs is studied. The mini-UAV trajectory model of parachute decelerating segment is established. The influences to parachute drag are analyzed and the parachute canopy limit area formula is derived. In order to ensure the time effectiveness of mini-UAVs entering working destination, taking flight time and range as the performance function, considering end velocity and end height as optimization constraints, and choosing parachute parameters-canopy area and parachute opening time as design variables, the optimal decelerating trajectory is solved by sequential quadratic programming method and genetic algorithm. Compared the results of these two kinds of optimized algorithms, their applicability to this decelerating trajectory is analyzed. The mechanism of timeliness during parachute decelerating trajectory is analyzed briefly. A numerical example results indicates the validity of the parachute decelerating trajectory design in this paper, which possesses practical value to guide research of parachute design.
  • Keywords
    aerospace control; genetic algorithms; position control; quadratic programming; remotely operated vehicles; velocity control; flight range; flight time; genetic algorithm; miniUAV trajectory; optimal parachute decelerating trajectory; optimization constraint; parachute canopy; parachute decelerate trajectory optimization; parachute design; parachute drag; parachute opening time; sequential quadratic programming; velocity; Aerodynamics; Aircraft; Algorithm design and analysis; Design optimization; Drag; Genetic algorithms; Optimization methods; Quadratic programming; Shape; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072995
  • Filename
    5072995