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.
Robust Low-Thrust Trajectory Optimization Using Convex Programming and a Homotopic Approach
IEEE Transactions on Aerospace and Electronic Systems ; 58 , 3 ; 2103-2116
2022-06-01
2360236 byte
Article (Journal)
Electronic Resource
English
Practical Techniques for Low-Thrust Trajectory Optimization with Homotopic Approach
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