• DocumentCode
    711393
  • Title

    Sample-return mission planning for an asteroid on an earth fly-by trajectory

  • Author

    Somavarapu, Dhathri ; Turkoglu, Kamran ; Fritz, Sean ; Mazzulla, Aaron ; Carlozzi, Alexander ; Pirkl, Zachary

  • Author_Institution
    San Jose State Univ., San Jose, CA, USA
  • fYear
    2015
  • fDate
    7-14 March 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper investigates a systematic mission design of robust and optimal orbital transfer maneuvers for a sample return mission from an asteroid. In this study, we establish a space flight procedure to obtain the minimum Delta V required for a rendezvous and sample return mission from an asteroid. Given the initial (observed) conditions of an asteroid, a genetic algorithm is implemented to determine the optimal choice of Delta V required for rendezvous. This is achieved for given constraints on orbital trajectory, payload-mass and maximum allowable Delta V. In that sense, we provide a procedure for a constrained optimization problem. The genetic algorithm has been utilized for the systematic solution, and presented are results obtained for a hypothetical example. Robustness analysis was also performed on the results showing that in case of any uncertainty associated with Delta V firings, the spacecraft could still complete the mission and rendezvous with the asteroid. One unique aspect of the paper is the conducted robustness analysis, which provides a feasible error bound for (still) achieving a successful mission.
  • Keywords
    asteroids; celestial mechanics; genetic algorithms; initial value problems; space vehicles; Delta V firings; Earth fly-by trajectory; asteroid; constrained optimization problem; genetic algorithm; initial conditions; maximum allowable Delta V; minimum Delta V; orbital trajectory; payload-mass; robust optimal orbital transfer maneuvers; robustness analysis; sample-return mission planning; space flight procedure; spacecraft; systematic mission design; systematic solution; Biological cells; Earth; Genetic algorithms; Orbits; Space vehicles; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2015 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4799-5379-0
  • Type

    conf

  • DOI
    10.1109/AERO.2015.7119211
  • Filename
    7119211