Modelling and numerical optimisation of refractive surface patterns for transmissive solar sails

Transmissive solar sail designs have been proposed with performance and utility benefits over traditional solar sails, particularly in low Earth orbit. The functional element of these new sails is their refractive or diffractive surface pattern. This paper explores the design of refractive sail patterns using numerical optimisation, and explores the validity of using model-free reinforcement learning algorithms for this purpose. In particular, the performances of triangular prism and semi-cylindrical lightfoil patterns from prior literature are iteratively improved. To do this, a ray tracing optical simulation was developed that models the solar radiation pressure and torque per unit area of illuminated, refractive patterns in a vacuum. Meanwhile, a numerical optimiser was developed to iteratively improve upon simulated patterns according to user-defined fitness functions. Depending on their purpose, patterns were optimised for either tangential-to-sail solar radiation pressure or self-stabilising corrective torque at a Sun-pointing attitude, or range of attitudes. The optimiser was shown to be capable of substantially improving the performance of optical elements, particularly through the harnessing of total internal reflection. In one case, the numerical optimiser was shown to improve the maximum tangential radiation pressure of an analytically optimised polystyrene prism pattern by 58%. In another case, the optimiser improved the peak corrective torque of a pattern of polyethylene terephthalate lightfoils by 74%. • Numerical optimiser uses internal reflections to improve refractive sail performance. • User-defined fitness functions enable automated, mission-specific sail optimisation. • Analytically optimal micro-prism patterns improved further by numerical optimisation. • Alternative lightfoil geometries improve peak torque but reduce stable angle range. • Lightfoil self-stabilisation behaviour the same for single element and patterned sail.

Authors

Institutions

Publication Details

Journal
Acta Astronautica
Published
2025-04-15
DOI
https://doi.org/10.1016/j.actaastro.2025.03.039
Citations
1
Primary Topic
Aerospace Engineering and Energy Systems
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling and numerical optimisation of refractive surface patterns for transmissive solar sails

Christopher Tuck, Nishanth Pushparaj, Samuel M. Thompson, Chantal Cappelletti
1 citations
Acta Astronautica
Aerospace Engineering and Energy Systems
4.99
article

Modelling and numerical optimisation of refractive surface patterns for transmissive solar sails

Christopher Tuck, Nishanth Pushparaj, Samuel M. Thompson, Chantal Cappelletti
article en
1 citations

Abstract

Transmissive solar sail designs have been proposed with performance and utility benefits over traditional solar sails, particularly in low Earth orbit. The functional element of these new sails is their refractive or diffractive surface pattern. This paper explores the design of refractive sail patterns using numerical optimisation, and explores the validity of using model-free reinforcement learning algorithms for this purpose. In particular, the performances of triangular prism and semi-cylindrical lightfoil patterns from prior literature are iteratively improved. To do this, a ray tracing optical simulation was developed that models the solar radiation pressure and torque per unit area of illuminated, refractive patterns in a vacuum. Meanwhile, a numerical optimiser was developed to iteratively improve upon simulated patterns according to user-defined fitness functions. Depending on their purpose, patterns were optimised for either tangential-to-sail solar radiation pressure or self-stabilising corrective torque at a Sun-pointing attitude, or range of attitudes. The optimiser was shown to be capable of substantially improving the performance of optical elements, particularly through the harnessing of total internal reflection. In one case, the numerical optimiser was shown to improve the maximum tangential radiation pressure of an analytically optimised polystyrene prism pattern by 58%. In another case, the optimiser improved the peak corrective torque of a pattern of polyethylene terephthalate lightfoils by 74%. • Numerical optimiser uses internal reflections to improve refractive sail performance. • User-defined fitness functions enable automated, mission-specific sail optimisation. • Analytically optimal micro-prism patterns improved further by numerical optimisation. • Alternative lightfoil geometries improve peak torque but reduce stable angle range. • Lightfoil self-stabilisation behaviour the same for single element and patterned sail.

Acta AstronauticaVol. 233
University of Nottingham (GB)
Openalex Percentile: Top 7%
Aerospace Engineering and Energy Systems
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.