• DocumentCode
    2886185
  • Title

    Optimization of Δvega trajectory based on analytical gradients

  • Author

    Yuan Ren ; Ping-Yuan Gui ; En-Jie Luan

  • Author_Institution
    Deep Space Exploration Center, Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    349
  • Abstract
    In deep space exploration missions, total ΔV is a very important performance index. Δ VEGA and optimization are two important technique to reduce the total Δ V in deep space missions. The earth swingby increase the sensitivity of the trajectory greatly, so the optimization of Δ VEGA trajectory is one of the most sophisticated problem currently investigated in the region. In this paper, the whole Δ VEGA trajectory is divided into several trajectory segments. Each trajectory segment connecting consecutive maneuver points is found by solving an N-body analog to Lambert´s problem. We can also obtain state transition matrix of each trajectory segments. The analytical gradients of total Δ V with respect to adjustable variables such as launch time, arrival time, swingby time and the periapsis position relative to the gravitating body are derived based on the transition matrix and calculus of variation. The performance index could be reduced by utilizing quasi-Newton algorithm. At the end of this paper, the Δ VEGA trajectory of Chinese deep space exploration mission to the near earth asteroid Ivar is optimized by this method.
  • Keywords
    N-body problems; asteroids; astronomical techniques; gravity; ΔVEGA trajectory optimization; Chinese deep space exploration mission; Ivar near earth asteroid; Lambert´s problem; N-body analog; analytical gradients; arrival time; consecutive maneuver points; deep space exploration missions; earth swingby; gravitating body; launch time; performance index; periapsis position; quasi-Newton algorithm; state transition matrix; trajectory segments; Calculus; Earth; Joining processes; Optimization methods; Performance analysis; Space exploration; Space missions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259037
  • Filename
    4028087