Comparison of control regularization techniques for minimum-fuel low-thrust trajectory design using indirect methods Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.01490
Minimum-fuel low-thrust trajectories typically consist of a finite, yet unknown number of switches in the thrust magnitude profile. This optimality-driven characteristic of minimum-fuel trajectories poses a challenge to the numerical methods that are typically used for solving the resulting Hamiltonian boundary-value problems (BVPs). In this paper, we compare the impact of the popular hyperbolic-tangent-based smoothing with a novel L2-norm-based smoothing on the convergence performance of quasi-Newton gradient-based methods. Both smoothing methods are applied directly at the level of control, which offer a significant implementation simplicity. We also investigate the application of each method in scenarios where the State Transition Matrix (STM) is used for accurate calculation of the sensitivities of the residual vector of the resulting BVPs with respect to the unknown initial costate values. The effectiveness of each control smoothing method is assessed across several benchmark minimum-fuel low-thrust trajectory optimization problems.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.01490
- https://arxiv.org/pdf/2409.01490
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403005226
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403005226Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2409.01490Digital Object Identifier
- Title
-
Comparison of control regularization techniques for minimum-fuel low-thrust trajectory design using indirect methodsWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-02Full publication date if available
- Authors
-
Saeid Tafazzol, Ehsan Taheri, Nan I. LiList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.01490Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2409.01490Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2409.01490Direct OA link when available
- Concepts
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Thrust, Regularization (linguistics), Trajectory, Control theory (sociology), Computer science, Control (management), Aerospace engineering, Engineering, Physics, Artificial intelligence, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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