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

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-Lobat...

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Vydáno v:IEEE transactions on aerospace and electronic systems Ročník 58; číslo 3; s. 2103 - 2116
Hlavní autoři: Morelli, Andrea Carlo, Hofmann, Christian, Topputo, Francesco
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Aerodynamics
Algorithms
Computational geometry
Computing time
Convergence
Convexity
Fuels
Interplanetary spacecraft
Interpolation
Mathematical programming
Nonlinear control
Optimal control
Programming
Robustness
Smoothing methods
Thrust
Trajectory optimization
Voyager 1 spacecraft
ISSN:0018-9251, 1557-9603
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2021.3128869