Model Predictive Control for Gliding Descent on Mars
Source abstract
Abstract
This paper proposes a closed-loop nonlinear model predictive control for the first time for the trajectory tracking of a spaceplane descending and gliding on Mars. Previous studies presented the optimization of descending trajectory solving optimal control problems to reach a specific region (longitude, latitude, and altitude) by the end of the atmospheric flight. Following those approaches, in this work, an optimal trajectory was selected for a semi-optimal controller, specifically the nonlinear model predictive control. This controller and its robustness were validated through Monte Carlo simulations, demonstrating that it is robust enough to direct the spaceplane along the reference path, even when the atmospheric density changes by 15% of the standard deviation.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Spacecraft Dynamics and Control · Advanced Control Systems Optimization · Aerospace Engineering and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Pure and Applied Mathematics, Institute of Science and Technology (ICT/UNIFESP), São José dos Campos 12247-004, Brazil
Division of Graduate Studies (DIPGR), National Institute for Space Research (INPE), São José dos Campos 12227-010, Brazil
The Italian Aerospace Research Centre (CIRA), 81043 Capua, Italy
Funding
São Paulo Research Foundation (FAPESP) · National Council for Scientific and Technological Development (CNPq) · National Council for the Improvement of Higher Education (CAPES) · Italian Ministry of Foreign Affairs and International Cooperation (MAECI)
References (51)
Show source-provided references
1. Viviani, A., and Pezzella, G. (2015). Aerodynamic and Aerothermodynamics Analysis of Space Mission Vehicles, Springer International Publishing.10.1007/978-3-319-13927-2 ↗
2. Weiland, C. (2014). Aerodynamic Data of Space Vehicles, Springer.10.1007/978-3-642-54168-1 ↗
3. Rapid Smooth Entry Trajectory Planning for High Lift/Drag Hypersonic Glide Vehicles10.1007/s10957-015-0831-8 ↗
4. Autonomous gliding entry guidance with geographic constraints10.1016/j.cja.2015.07.009 ↗
5. Entry Guidance Based on Analytical Trajectory Solutions10.1109/TAES.2021.3133387 ↗
6. Short-Range Reentry Guidance with Impact Angle and Impact Velocity Constraints for Hypersonic Gliding Reentry Vehicle10.1109/ACCESS.2019.2909589 ↗
7. Optimal re-entry maneuver with bounded lift control10.2514/3.20221 ↗
8. Cassell, A., Brivkalns, C., Bowles, J., Garcia, J., Kinney, D., Wercinski, P., Cianciolo, A., and Polsgrove, T. (2017, January 4–11). Human Mars Mission Design Study Utilizing the Adaptive Deployable Entry and Placement Technology. Proceedings of the 2017 IEEE Aerospace Conference, Big Sky, MT, USA.10.1109/AERO.2017.7943585 ↗
9. O’Driscoll, D., Bruce, P.J., and Santer, M.J. (2020). Origami-based TPS Folding Concept for Deployable Mars Entry Vehicles. AIAA Scitech 2020 Forum, AIAA.10.2514/6.2020-1897 ↗
10. Dimino, I., Vendittozzi, C., Reis Silva, W., Ameduri, S., and Concilio, A. (2023). A Morphing Deployable Mechanism for Re-Entry Capsule Aeroshell. Appl. Sci., 13.10.3390/app13052783 ↗
11. X-34 Vehicle Aerodynamic Characteristics10.2514/2.3453 ↗
12. Aero-gravity assist maneuvers: Controlled dynamics modeling and optimization10.1007/s10569-006-9024-y ↗
13. Change of satellite orbit plane by aerodynamic maneuvering10.2514/8.9416 ↗
14. Hypersonic waveriders for planetary atmospheres10.2514/3.26259 ↗
15. Optimal atmospheric trajectory for aero-gravity assist10.1016/0094-5765(94)90059-0 ↗
16. Optimal Atmospheric Trajectory for Aerogravity Assist with Heat Constraint10.2514/3.21453 ↗
17. Optimal aero-gravity assist with heliocentric plane change10.1016/0094-5765(96)00017-3 ↗
18. Johnson, W.R. (2002). Optimization of Atmospheric Fly Through Aero-Gravity Assist Trajectories, Purdue University. AAE508 Report.
19. Interplanetary mission design with aero-assisted manoeuvres multi-objective evolutive optimization10.1016/j.actaastro.2005.03.052 ↗
20. Lyons, D., Sklyanskiy, E., Casoliva, J., and Wolf, A. (2008, January 21). Parametric optimization and guidance for an aerogravity assisted atmospheric sample return from Mars and Venus. Proceedings of the AIAA/AAS Astrodynamics Specialist Conference and Exhibit, Honolulu, HI, USA. AIAA 08-7353.10.2514/6.2008-7353 ↗
21. Design and Optimization of interplanetary aerogravity-assist tours10.2514/1.A32881 ↗
22. Optimal aerogravity-assist trajectories minimizing total heat load10.2514/1.G002467 ↗
23. Optimal Powered Aerogravity-Assist Trajectories10.2514/1.G005360 ↗
24. Using low Lift-to-Drag spacecraft to perform upper atmospheric Aero-Gravity Assisted Maneuvers10.1016/j.asr.2022.05.031 ↗
25. Optimizing aerogravity-assisted maneuvers at high atmospheric altitude above Venus, Earth, and Mars to control heliocentric orbits10.1016/j.actaastro.2023.12.017 ↗
26. Time optimal drag-based targeted de-orbiting for low Earth orbit10.1016/j.actaastro.2023.03.011 ↗
27. Murcia-Piñeros, J.O., Prado, A.F.B.A., Dimino, I., and de Moraes, V. (2024). Optimal Gliding Trajectories for Descent on Mars. Appl. Sci., 14.10.3390/app14177786 ↗
28. Chai, R., Tsourdos, A., Savvaris, A., Chai, S., Xia, Y., and Chen, C. (2021). Review of advanced guidance and control algorithms for space/aerospace vehicles. Prog. Aerosp. Sci., 122.10.1016/j.paerosci.2021.100696 ↗
29. Advances in trajectory optimization for space vehicle control10.1016/j.arcontrol.2021.04.013 ↗
30. Review on model predictive control: An engineering perspective10.1007/s00170-021-07682-3 ↗
31. Chai, R., Savvaris, A., Tsourdos, A., Chai, S., and Xia, Y. (2019). A review of optimization techniques in spacecraft flight trajectory design. Prog. Aerosp. Sci., 109.10.1016/j.paerosci.2019.05.003 ↗
32. Model predictive control in aerospace systems: Current state and opportunities10.2514/1.G002507 ↗
33. Model predictive tracking of spacecraft deorbit trajectories using drag modulation10.1016/j.actaastro.2022.10.057 ↗
34. Chai, J., and Kayacan, E. (2023). Nonlinear Simulation and Performance Characterization of an Adaptive Model Predictive Control Method for Booster Separation and Re-Entry. Electronics, 12.10.3390/electronics12061488 ↗
35. Closed-loop deep neural network optimal control algorithm and error analysis for powered landing under uncertainties10.1007/s42064-022-0153-1 ↗
36. Adaptive and efficient model predictive control for booster reentry10.2514/1.G004925 ↗
37. Autonomous Rendezvous and Docking Implementation for Small Satellites Using Model Predictive Control
38. Nonlinear model predictive control of reentry vehicles based on Takagi-Sugeno fuzzy models10.1007/s40295-019-00191-2 ↗
39. Allgöwer, F., and Zheng, A. (2000). Nonlinear Model Predictive, Birkhauser Springer.10.1007/978-3-0348-8407-5 ↗
40. Rakovic, S.V., and Levine, W.S. (2018). Handbook of Model Predictive Control, Birkhauser Springer Nature.
41. Rawlings, J.B., Mayne, D.Q., and Diehl, M. (2017). Model Predictive Control: Theory, Computation, and Design, Nob Hill Publishing. [2nd ed.].
42. Camacho, E.F., and Bordons, C. (2007). Model Predictive Control, Springer. [2nd ed.].10.1007/978-0-85729-398-5 ↗
43. Reble, M. (2013). Model Predictive Control for Nonlinear Continuous-Time Systems with and Without Time-Delays, Logos Verlag.
44. Sun, Q., Xu, J., and Zhang, H. (2025). Guidance for Hypersonic Reentry Using Nonlinear Model Predictive Control and Radau Pseudospectral Method. Optim. Control Appl. Methods.10.1002/oca.3267 ↗
45. Engel, D., Putnam, Z., and Dutta, S. (2025). Assessment of Model Predictive Control for Mars Entry Vehicles with Flaps. J. Spacecr. Rocket.10.2514/1.A36240 ↗
46. Reachable-Set Constrained Model Predictive Control for Safe Hypersonic Reentry10.2514/1.G008436 ↗
47. Ding, H., Xu, B., Yang, W., Zhou, Y., and Wu, X. (2025). A Robust Control Method for the Trajectory Tracking of Hypersonic Unmanned Flight Vehicles Based on Model Predictive Control. Drones, 9.10.3390/drones9030223 ↗
48. Willians, D. (2025, April 06). Planetary Fact Sheets, Available online: https://www.scribd.com/doc/7089255/Planetary-Fact-Sheet-Ratio-to-Earth-Values-NASA.
49. Murcia-Piñeros, J.O., Bevilacqua, R., Gaglio, E., Prado, A.F., and de Moraes, R.V. (2025). Spaceplane Model Predictive Control and guidance for aerogravity assisted maneuvers above Earth. Acta Astronaut.10.1016/j.actaastro.2025.08.034 ↗
50. Nonlinear Modeling, Estimation and Predictive Control in APMonitor10.1016/j.compchemeng.2014.04.013 ↗
51. Matplotlib: A 2D graphics environment10.1109/MCSE.2007.55 ↗