Low-Thrust Nonlinear Orbit Control for Very Low Lunar Orbits
Source abstract
Abstract
In the next decades, both space agencies and private competitors are targeting the lunar environment as a scientific and technological resource for future space missions. In particular, the confirmed existence of water-ice deposits in the vicinity of the poles (predominantly the south pole) makes polar or near-polar low lunar orbits attractive for the purpose of designing space missions that could search for suitable Lunar base sites. However, traveling very-low-altitude orbits is very challenging, as they are strongly perturbed by the Moon’s gravity field as well as third- and fourth-body effects due to the Earth and the Sun. Several studies demonstrate that these orbits are expected to impact the lunar surface in a few months. Therefore, the definition and implementation of an effective station-keeping strategy represents a crucial issue in order to extend satellites’ lifetime. In this paper, a feedback nonlinear control law is employed in order to perform corrective maneuvers aimed at keeping the state of the satellite within acceptable margins. The satellite is assumed to be equipped with a steerable and throttleable low-thrust propulsion system. The control law is based on the Lyapunov stability theory and does not require any reference path to track, with a considerable decrease in the computational cost. The proposed real-time control law includes control saturation, related to the maximum available thrust magnitude, and is developed employing modified equinoctial elements, in order to avoid singularities and extend its range of application. Finally, the strategy at hand is tested in the presence of all the relevant perturbations (i.e., harmonics of the selenopotential, third- and fourth-body effects) in order to show its effectiveness and efficiency.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Spacecraft Dynamics and Control · Astro and Planetary Science · Space Satellite Systems and Control
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Astronautical, Electrical, and Energy Engineering, Sapienza University of Rome, via Salaria 851, 00138 Rome, Italy
School of Aerospace Engineering, Sapienza University of Rome, via Salaria 851, 00138 Rome, Italy
References (29)
Show source-provided references
1. Fuller, S., Lehnhardt, E., Zaid, C., and Halloran, K. (2021, January 25–29). Gateway Program Status and Overview. Proceedings of the 72nd International Astronautical Congress, Dubai, United Arab Emirates.
2. Design of long-lifetime lunar orbits: A hybrid approach10.1016/j.actaastro.2011.03.009 ↗
3. Lunar frozen orbits revisited10.1007/s10569-018-9858-0 ↗
4. Lunar orbit dynamics and maneuvers for Lunisat missions10.1016/j.actaastro.2018.05.015 ↗
5. Feasibility of quasi-frozen, near-polar and extremely low-altitude lunar orbits10.1016/j.actaastro.2019.10.037 ↗
6. Liu, J., Xu, B., Li, C., and Li, M. (2022). Lifetime Extension of Ultra Low-Altitude Lunar Spacecraft with Low-Thrust Propulsion System. Aerospace, 9.10.3390/aerospace9060305 ↗
7. LaFarge, N.B., Miller, D., Howell, K.C., and Linares, R. (2020, January 6–10). Guidance for closed-loop transfers using reinforcement learning with application to libration point orbits. Proceedings of the AIAA Scitech 2020 Forum, Orlando, FL, USA.10.2514/6.2020-0458 ↗
8. Hart, J., King, E., Miotto, P., and Lim, S. (2008, January 16–21). Orion GN&C architecture for increased spacecraft automation and autonomy capabilities. Proceedings of the AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, HI, USA.10.2514/6.2008-7291 ↗
9. Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment10.1016/j.actaastro.2021.05.014 ↗
10. A survey of methods available for the numerical optimization of continuous dynamic systems10.1007/s10957-011-9918-z ↗
11. A class of globally stabilizing feedback controllers for the orbital rendezvous problem10.1002/rnc.3817 ↗
12. Simple guidance scheme for low-thrust orbit transfers10.2514/2.4344 ↗
13. Nonlinear feedback control of low-thrust orbital transfer in a central gravitational field10.1016/j.actaastro.2006.10.001 ↗
14. Lyapunov-based transfer between elliptic Keplerian orbits
15. Generalized guidance scheme for low-thrust orbit transfer10.1155/2014/407087 ↗
16. Deep learning techniques for autonomous spacecraft guidance during proximity operations10.2514/1.A35076 ↗
17. Real-time guidance for low-thrust transfers using deep neural networks10.2514/1.G005254 ↗
18. Network architecture and action space analysis for deep reinforcement learning towards spacecraft autonomous guidance10.1016/j.asr.2022.11.048 ↗
19. Petropoulos, A.E. (2005, January 23–27). Refinements to the Q-Law for the Low-Thrust Orbit Transfers. Proceedings of the 15th AAS/AIAA Space Flight Mechanics Conference, Copper Mountain, CO, USA.
20. Equinoctial Lyapunov control law for low-thrust rendezvous10.2514/1.G006662 ↗
21. Connecting the Equinoctial Elements and Rodrigues Parameters: A New Set of Elements10.2514/1.G007347 ↗
22. Nonlinear Earth orbit control using low-thrust propulsion10.1016/j.actaastro.2020.10.037 ↗
23. Deployment strategies of a satellite constellation for polar ice monitoring10.1016/j.actaastro.2021.12.008 ↗
24. Low-Thrust Lunar Capture Leveraging Nonlinear Orbit Control10.1007/s40295-023-00391-x ↗
25. Battin, R.H. (1999). An Introduction to the Mathematics and Methods of Astrodynamics, AIAA.10.2514/4.861543 ↗
26. Giorgi, S. (1964). Una Formulazione Caratteristica del Metodo Encke in Vista Dell’Applicazione Numerica, Università di Roma, Scuola di Ingegneria Aerospaziale.
27. Recent gravity models as a result of the Lunar Prospector mission10.1006/icar.2000.6573 ↗
28. Curtis, H. (2013). Orbital Mechanics for Engineering Students, Butterworth-Heinemann.10.1016/B978-0-08-097747-8.00006-2 ↗
29. (2024, January 09). Wolfram Mathematica. Available online: https://www.wolfram.com/mathematica/.