• DocumentCode
    2343354
  • Title

    Direct Optimization of Low-Thrust Transfers Using Averaging Techniques Based on Fourier Series Expansion

  • Author

    Wei, Pan ; Changhou, Lu

  • Author_Institution
    Sch. of Mech. Eng., Shandong Univ., Jinan, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    Low-thrust transfers in the central gravitational field involve a large number of orbital revolutions, which poses a real challenge to trajectory optimization. This article uses an orbital averaging technique based on Fourier series Expansion to describe the trajectory dynamics: the low-thrust profile is transformed in Fourier space, and secular dynamics equations are represented as functions of these thrust Fourier coefficients. The Chebyshev pseudo spectral and the Sequence Quadratic Planning method are used to convert the optimal low-thrust transfer problem to a parameter optimization one and obtain the optimal control solutions. Maximum inclination transfer problem for the low-thrust vehicle in arbitrary elliptic Earth orbits is presented, and it shows that the direct method using averaging techniques based on Fourier series Expansion can determine the low-thrust optimal control solutions accurately and reduce computational requirements significantly.
  • Keywords
    Chebyshev approximation; Fourier series; aerospace propulsion; aircraft; quadratic programming; vehicle dynamics; Chebyshev pseudospectral method; Fourier series expansion; arbitrary elliptic Earth orbits; direct optimization; low thrust transfers; low thrust vehicles; orbital averaging techniques; orbital revolutions; secular dynamics equations; sequence quadratic planning method; trajectory dynamics; Chebyshev approximation; Equations; Fourier series; Optimal control; Optimization; Orbits; Trajectory; Fourier series; direct method; low thrust; orbital averaging; orbital transfer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.118
  • Filename
    5957608