Thrust Magnitude Constraint Handling for Low-Thrust Trajectory Optimization

A detailed analysis of six control constraint methods for thrust magnitude limitations is presented. The inequality augmented Lagrangian and penalty inequality augmented Lagrangian methods are widely used, whereas the box, Heaviside augmented Lagrangian, and penalty Heaviside augmented Lagrangian methods are less common. The newly coined implicit method uses a simple cosine function to bound relevant decision variables. Cartesian and spherical control frames with normalization schemes are also examined, along with techniques for avoiding singularities. The resulting 27 submethods are applied to 10 diverse spacecraft trajectory optimization problems with up to 10 revolutions, including both bang-bang and smooth thrusting profiles. The results confirm that proper scaling is paramount for consistent performance across widely varying test cases. The implicit method is the simplest to implement, does not require tuning, and demonstrates the best median performance of all the nonapproximate solution methods.

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Publication Details

Journal
Journal of Spacecraft and Rockets
Published
2025-03-11
DOI
https://doi.org/10.2514/1.a36292
Citations
2
Primary Topic
Spacecraft Dynamics and Control
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
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article

Thrust Magnitude Constraint Handling for Low-Thrust Trajectory Optimization

Ryan P. Russell, Bryn Fanger
2 citations
Journal of Spacecraft and Rockets
Spacecraft Dynamics and Control
9.99
article

Thrust Magnitude Constraint Handling for Low-Thrust Trajectory Optimization

Ryan P. Russell, Bryn Fanger
article en
2 citations

Abstract

A detailed analysis of six control constraint methods for thrust magnitude limitations is presented. The inequality augmented Lagrangian and penalty inequality augmented Lagrangian methods are widely used, whereas the box, Heaviside augmented Lagrangian, and penalty Heaviside augmented Lagrangian methods are less common. The newly coined implicit method uses a simple cosine function to bound relevant decision variables. Cartesian and spherical control frames with normalization schemes are also examined, along with techniques for avoiding singularities. The resulting 27 submethods are applied to 10 diverse spacecraft trajectory optimization problems with up to 10 revolutions, including both bang-bang and smooth thrusting profiles. The results confirm that proper scaling is paramount for consistent performance across widely varying test cases. The implicit method is the simplest to implement, does not require tuning, and demonstrates the best median performance of all the nonapproximate solution methods.

Journal of Spacecraft and RocketsVol. 62(5)
The University of Texas at Austin (US)
Space Technology Mission Directorate
Openalex Percentile: Top 3%
Spacecraft Dynamics and Control
9.99
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