• DocumentCode
    577569
  • Title

    Solar sail spacecraft trajectory optimization based on improved imperialist competitive algorithm

  • Author

    Wang, Yong ; Zhu, Min ; Wei, Yiheng ; Zhang, Yang

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    191
  • Lastpage
    195
  • Abstract
    In this paper we discuss the minimum-time orbit transfers of solar sail spacecraft for Mercury sample return missions using solar radiation pressure. In order to find the minimum-time trajectory transfers, the optimal pitch angle of the solar sail has to be determined. We transform the optimal control problem to parameterized nonlinear programming problem by using the direct shooting method. Then, the improved imperialist competitive algorithm is used to optimize the pitch angle and the transfer time of the solar sail. Thus, we can obtain the optimal transfer trajectory according to the sail´s orbital dynamics. Furthermore, transfers from the Earth orbit to Mercury and from the Mercury orbit to Earth of the solar sail is simulated, the results show that it meets the orbit terminal constraints well and the results in this paper are better than the existing results.
  • Keywords
    nonlinear programming; optimal control; space vehicles; trajectory control; Earth orbit; Mercury orbit; Mercury sample return missions; direct shooting method; imperialist competitive algorithm; minimum time orbit transfers; minimum time trajectory transfers; optimal control problem; optimal pitch angle; optimal transfer trajectory; orbit terminal constraints; parameterized nonlinear programming; sail orbital dynamics; solar radiation pressure; solar sail spacecraft trajectory optimization; transfer time; Aerodynamics; Earth; Optimization; Orbits; Propulsion; Space vehicles; Trajectory; Mercury sample return missions; direct shooting method; improved imperialist competitive algorithm; solar sail; trajectory optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357865
  • Filename
    6357865