Skip to main content

LUMIO: An Autonomous CubeSat for Lunar Exploration

  • Chapter
  • First Online:
Space Operations: Inspiring Humankind's Future

Abstract

The Lunar Meteoroid Impact Observer (LUMIO) is one of the four projects selected within ESA’s SysNova competition to develop a small satellite for scientific and technology demonstration purposes to be deployed by a mothership around the Moon. The mission utilizes a 12U form-factor CubeSat which carries the LUMIO-Cam, an optical instrument capable of detecting light flashes in the visible spectrum to continuously monitor and process the meteoroids impacts. In this chapter, we will describe the mission concept and focus on the performance of a novel navigation concept using Moon images taken as byproduct of the LUMIO-Cam operations. This new approach will considerably limit the operations burden on ground, aiming at autonomous orbit-attitude navigation and control. Furthermore, an efficient and autonomous strategy for collection, processing, categorization, and storage of payload data is also described to cope with the limited contact time and downlink bandwidth. Since all communications have to go via a lunar orbiter, all commands and telemetry/data will have to be forwarded to/from the mothership. This will prevent quasi-real-time operations and will be the first time for CubeSats as they have never flown without a direct link to Earth. This chapter was derived from a paper the authors delivered at the SpaceOps 2018 conference [1].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

ADCS:

Attitude determination and control system

CCD:

Charge-coupled device

CCSDS:

Consultative committee for space data systems

CDF:

Concurrent Design Facility

CONOPS:

Concept of operations

COTS:

Commercial off the shelf

CRTBP:

Circular restricted three-body problem

EOL:

End of life

ESA:

European Space Agency

FOV:

Field of view

HIM:

Halo injection maneuver

IMU:

Inertial measurement unit

LUCE:

Lunar CubeSat for exploration

LUMIO:

Lunar Meteoroid Impact Observer

NIR:

Near infrared

OBPDP:

Onboard payload data processor

PCM:

Plane change maneuver

RF:

Radio frequency

ROM:

Rough order of magnitude

SADA:

Solar array drive assembly

SK:

Station keeping

SMIM:

Stable manifold injection maneuver

SNR:

Signal-to-noise ratio

TCM:

Trajectory correction maneuver

TRL:

Technology readiness level

UHF:

Ultra-high frequency

References

  1. Speretta, S., Topputo, F., Biggs, J., Di Lizia, P., Massari, M., Mani, K., et al. (2018) LUMIO: achieving autonomous operations for Lunar exploration with a CubeSat. In 2018 SpaceOps Conference (AIAA 2018-2599).

    Google Scholar 

  2. Walker, R., Vennekens, J., Fisackerly, R., Carpenter, J., & Carnelli, I. (30/05/2017). LUnar CubeSats for Exploration (LUCE) mission concept studies. In 6th Interplanetary CubeSat Workshop, Cambridge, UK.

    Google Scholar 

  3. Walker, R., Koschny, D., Bramanti, C., & Carnelli, I. (30/05/2017). ESA CDF Study Team, Miniaturised Asteroid Remote Geophysical Observer (M-ARGO): A stand-alone deep space CubeSat system for low-cost science and exploration missions. In 6th Interplanetary CubeSat Workshop, Cambridge, UK.

    Google Scholar 

  4. Proximity-1 Space Link Protocol—Rationale, Architecture, And Scenarios, CCSDS Green Book, CCSDS 210.0-G-2

    Google Scholar 

  5. Suggs, R. M., Moser, D. E., Cooke, W. J., & Suggs, R. J. (2014). The flux of kilogram-sized meteoroids from lunar impact monitoring. Icarus, 238(Supplement C), 23–36.

    Google Scholar 

  6. Oberst, J., et al. (2012). The present-day flux of large meteoroids on the lunar surface—A synthesis of models and observational techniques. Planetary and Space Science, 74, 179–193.

    Article  Google Scholar 

  7. Bouley, S., et al. (2012). Power and duration of impact flashes on the moon: Implication for the cause of radiation. Icarus, 218(1), 115–124.

    Article  Google Scholar 

  8. Rotteveel, J., & Bonnema, A. (2017). Launch services 101, managing a 101 CubeSat launch manifest on PSLV-C37. In 2017 Small Sats Conference, Logan, US.

    Google Scholar 

  9. Cipriano, D. A., Tos, D., & Topputo, F. Orbit Design for LUMIO: The lunar meteoroid impacts observer. In Frontiers in Astronomy and Space Sciences, to appear https://doi.org/10.3389/fspas.2018.00029.

  10. Dei Tos, D. A., & Topputo, F. (2017). On the advantages of exploiting the hierarchical structure of astrodynamical models. Acta Astronautica, 136, 236–247.

    Google Scholar 

  11. Dei Tos, D. A., & Topputo, F. (2017). Trajectory refinement of three-body orbits in the real solar system model. Advances of Space Research, 59(8), 2117–2132.

    Google Scholar 

  12. Franzese, V., Lizia, P. D., & Topputo, F. (2018–1977) Autonomous optical navigation for LUMIO mission. In 2018 Space Flight Mechanics Meeting, AIAA SciTech Forum (AIAA 2018–1977) https://doi.org/10.2514/6.2018-1977.

  13. Sheikh, S. I., et al. (2006). Spacecraft navigation using x-ray pulsars. Journal of Guidance, Control and Dynamics, 29(1), 49–63. https://doi.org/10.2514/1.13331.

    Article  Google Scholar 

  14. Mortari, D., & Conway, D. (2017). Single-point position estimation in interplanetary trajectories using star trackers. Celestial Mechanics & Dynamical Astronomy, 128(1), 115–130. https://doi.org/10.1007/s10569-016-9738-4.

    Article  MathSciNet  Google Scholar 

  15. Christian J. A., & Robinson S. B. (2016). Noniterative horizon-based optical navigation by cholesky factorization. Journal of Guidance, Control, and Dynamics, 39(12), 2757–2765. https://doi.org/10.2514/1.G000539.

    Article  Google Scholar 

  16. Canny, J. (1986). A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8(6), 679–698. https://doi.org/10.1109/TPAMI.1986.4767851.

    Article  Google Scholar 

  17. CDF Study Report: LUMIO—Review of SysNova Award LUMIO Study, ESA Report CDF-R-36, February 2018.

    Google Scholar 

Download references

Acknowledgements

This work has been funded through the ESA GSP program, Contract No. 4000120225/17/NL/GLC/as, as part of the SysNova LUCE challenge. LUMIO won ex aequo the challenge and was awarded a session in the ESA CDF to verify and refine the mission concept. We are thankful to ESA for the support received and in particular to its CDF team for the delta design conducted.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stefano Speretta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Speretta, S. et al. (2019). LUMIO: An Autonomous CubeSat for Lunar Exploration. In: Pasquier, H., Cruzen, C., Schmidhuber, M., Lee, Y. (eds) Space Operations: Inspiring Humankind's Future. Springer, Cham. https://doi.org/10.1007/978-3-030-11536-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-11536-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11535-7

  • Online ISBN: 978-3-030-11536-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics