Abstract
The irregular satellites within the Jupiter system hold high scientific value due to their potential to contain clues about the early evolution of the solar system. This paper proposes an optimization algorithm for multiple irregular satellites flyby trajectories, which includes the powered gravity assist from Galilean moons. The algorithm is based on beam search and uses virtual trajectories to determine potential flyby targets, solving for trajectories that satisfy constraints on velocity increment, mission duration, and perijove radius. By changing the initial orbital period and optimizing the number of branches with Galilean moon gravity assist during branching, and comparing with the case without Galilean moon gravity assist, the effects of these factors on the number of irregular satellite flybys are summarized. The simulation results show that the algorithm can effectively solve for orbits that flyby multiple irregular satellites for initial orbits of different periods. The three trajectories obtained can serve as references for future missions.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data Availability
No datasets were generated or analysed during the current study.
References
Agarwal, S., Pandey, R., Jeyaseelan, C.: Exploring the effect of various plasma parameters on whistler mode growth rates in the Jovian magnetosphere. Astrophys. Space Sci. 364, 1–9 (2019)
Bando, M., Yamakawa, H.: Orbital design for multiple flyby missions. Trans. Jpn. Soc. Aeronaut. Space Sci. Aerosp. Technol. Jpn. 8(ists27), Pd_9–Pd_13 (2010)
Barbee, B.W., Davis, G.W., Hur-Diaz, S.: Spacecraft trajectory design for tours of multiple small bodies. Adv. Astronaut. Sci. 135 (2010)
Belenkaya, E.S.: Two-dimensional non-linear Alfven wings generated by the electrodynamic interaction between Callisto and the Jovian magnetosphere. Astrophys. Space Sci. 277, 289–292 (2001)
Bellome, A., Sánchez, J.P., Mateas, J.G., et al.: Modified dynamic programming for asteroids belt exploration. Acta Astronaut. 215, 142–155 (2024)
Campagnola, S., Buffington, B.B., Lam, T., et al.: Tour design techniques for the Europa clipper mission. J. Guid. Control Dyn. 42(12), 2615–2626 (2019). https://doi.org/10.2514/1.G004309
Cataldi, G., Marcuccio, S.: A 2-d trajectory design algorithm for multiple asteroid flyby missions. Aerotec. Missili Spaz. 99, 287–295 (2020)
Chen, Z., Yang, K., Liu, X.: ‘Life’ of dust originating from the irregular satellites of Jupiter. Mon. Not. R. Astron. Soc. 527(4), 11327–11337 (2024)
De Marchi, F., Cappuccio, P., Mitri, G., et al.: Overview of the 3gm experiment on board the juice mission. Tech. rep., Copernicus Meetings, (2023)
Emelyanov, N., Varfolomeev, M., Lainey, V.: New ephemerides of outer planetary satellites. Mon. Not. R. Astron. Soc. 512(2), 2044–2050 (2022)
Gao, F., Liu, X.: Revisiting the distributions of Jupiter’s irregular moons: I. Physical characteristics (2020). ArXiv preprint arXiv:2003.04810
Gao, Y., Lu, X., Peng, Y., et al.: Trajectory optimization of multiple asteroids exploration with asteroid 2010tk7 as main target. Adv. Space Res. 63(1), 432–442 (2019)
Grigoriev, I., Zapletin, M.: Choosing promising sequences of asteroids. Autom. Remote Control 74(8) (2013)
Izzo, D., Becerra, V.M., Myatt, D.R., et al.: Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories. J. Glob. Optim. 38, 283–296 (2007)
Izzo, D., Getzner, I., Hennes, D., et al.: Evolving solutions to tsp variants for active space debris removal. In: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pp. 1207–1214 (2015)
Izzo, D., Hennes, D., Simões, L.F., et al.: Designing complex interplanetary trajectories for the global trajectory optimization competitions. Space Eng., 151–176 (2016)
Li, H., Baoyin, H.: Sequence optimization for multiple asteroids rendezvous via cluster analysis and probability-based beam search. Sci. China, Technol. Sci. 64(1), 122–130 (2021)
Li, M., Jing, Q.: Integrated trajectories optimization for Jupiter missions with single-satellite-aided capture. Celest. Mech. Dyn. Astron. (2023)
Li, H., Chen, S., Baoyin, H.: J2-perturbed multitarget rendezvous optimization with low thrust. J. Guid. Control Dyn. 41(3), 802–808 (2018)
McNutt, L., Johnson, L., Kahn, P., et al.: Near-Earth Asteroid (NEA) scout. In: AIAA Space 2014 Conference and Exposition, p. 4435 (2014)
Meltzer, M.: Mission to Jupiter: a history of the Galileo project. NASA STI/Recon Technical Report N 7:13975, (2006)
Nesvornỳ, D., Beaugé, C., Dones, L.: Collisional origin of families of irregular satellites. Astron. J. 127(3), 1768 (2004)
Sánchez Cuartielles, J.P., Gibbings, A., Snodgrass, C., et al.: Asteroid belt multiple flyby options for m-class missions. In: 67th International Astronautical Congress. International Astronautical Federation (2016). https://api.semanticscholar.org/CorpusID:67808997
Sanchez, J.P., Bellome, A., Carrillo, M., et al.: Deterministic and stochastic exploration of long asteroid fly-by sequences exploiting tree-graph and optimal substructure properties. In: 73rd International Astronautical Congress (IAC). International Astronautical Federation (IAF) (2022)
Sheppard, S., Williams, G., Tholen, D., et al.: New Jupiter satellites and moon-moon collisions (2018). ArXiv preprint arXiv:1809.00700
Simões, L.F., Izzo, D., Haasdijk, E., et al.: Multi-rendezvous spacecraft trajectory optimization with beam P-ACO. In: Evolutionary Computation in Combinatorial Optimization: 17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19–21, 2017. Proceedings, vol. 17, pp. 141–156. Springer, Berlin (2017)
Song, Y., Gong, S.: Solar-sail trajectory design for multiple near-Earth asteroid exploration based on deep neural networks. Aerosp. Sci. Technol. 91, 28–40 (2019)
Staff, M.P.C.: Minor planet electronic circulars (2023). https://minorplanetcenter.net/iau/services/MPEC.html, datashare
Stephens, S.K.: Juno at Jupiter: the mission and its path to unveiling secrets of the history of the solar system. In: 2018 IEEE Aerospace Conference, IEEE, pp. 1–19 (2018). https://doi.org/10.1109/AERO.2018.8396456
Stuart, J.R., Howell, K.C., Wilson, R.S.: Design of end-to-end trojan asteroid rendezvous tours incorporating scientific value. J. Spacecr. Rockets 53(2), 278–288 (2016)
Zhou, Y., Yan, Y., Huang, X., et al.: Mission planning optimization for the visual inspection of multiple geosynchronous satellites. Eng. Optim. 47(11), 1543–1563 (2015)
Acknowledgements
The author would like to thank Prof. Michel Blanc from Institut de Recherche en Astrophysique et Planétologie(IRAP) for the discussion with him.
Author information
Authors and Affiliations
Contributions
Quan Jing wrote the main manuscript text, Zhixin Hao prepared Fig. 4 and provided opinions for Sects. 3, Mingtao Li prepared Fig. 1, and guided the writing of the entire text. All authors reviewed the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Jing, Q., Hao, Z. & Li, M. Trajectory optimization of flybys of multiple irregular satellites of Jupiter with Galilean moons gravity assist. Astrophys Space Sci 369, 40 (2024). https://doi.org/10.1007/s10509-024-04305-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10509-024-04305-7