A robust algorithm to solve the low-thrust fuel-optimal trajectory optimization problem for interplanetary spacecraft is developed in this article. The original nonlinear optimal control problem is convexified and transformed into a parameter optimization problem using an arbitrary-order Gauss–Lobatto discretization scheme with nonlinear control interpolation. A homotopic approach that considers the energy-to-fuel smoothing path is combined with an adaptive second-order trust-region mechanism to increase performance. The overall robustness is assessed in several fuel-optimal transfers with poor initial guesses. The results show a superior performance in terms of convergence and computational time compared to standard convex programming approaches in the literature.


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    Title :

    Robust Low-Thrust Trajectory Optimization Using Convex Programming and a Homotopic Approach


    Contributors:


    Publication date :

    2022-06-01


    Size :

    2360236 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English