|Article title||SIMULATION OF A SMALL SATELLITES GROUP AUTONOMOUS CONTROL|
|Authors||O. V. Karsaev|
|Section||SECTION II. SYSTEMS OF CONTROL AND MODELING|
|Month, Year||01, 2018 @en|
|Index UDC||004.003, 004.896:62-5: 007.52|
|Abstract||The subject of research in the paper is autonomous control of small satellites group. Information interaction between satellites of the group and between satellites and ground stations is an essential element of autonomous planning and control. The satellites group and ground stations as a whole form Delay-and-Disruption Tolerant Network (DTN). The message transfer to the final recipient in such a network generally occurs through a chain of nodes in the "store – send" mode. As a result, the transfer of messages and information interaction in general occurs with certain time delays. These time delays can be significant factor that have a negative impact on the efficiency of the autonomous control of satellite group. The paper describes the developed agent-oriented model of satellite group that at the initial stage of the study is mainly intended to investigate this factor and obtain quantitative estimates of such time delays on various other factors. This model includes software components of two levels. The lower-level components describe the subsystem for simulating the behavior of satellites and ground stations as DTN network nodes. Accordingly, this subsystem is used to model the state of the network in time, and in particular, to simulate the establishment of communication channels and the transfer of messages and data between nodes. Components of the second level are software modules in the network nodes, which together form a subsystem of autonomous planning and information exchange. The components of the two levels are loosely coupled elements of the model. This approach provides an opportunity to develop and study different computing modules that implement appropriate methods and scenarios of autonomous planning and information exchange based on a common simulation model. The current version of the model considers two interrelated tasks of planning: planning of observation tasks and planning of delivery of collected data to the Earth, and possible approaches to their solution on the basis of appropriate schemes of information exchange. These approaches are also objects of research from the point of view of information exchange time delays in DTN of a network.|
|Keywords||Small satellites; team behavior; autonomous planning; Simulation; multi-agent systems.|
|References||1. Available at: http://spacenews.com/smallsat-market-forecast-to-exceed-30-billion-in-coming-decade/.
2. Available at: http://www.unoosa.org/.
3. Chien S., Johnston M., Frank J., Giuliano M., Kavelaars A., Lenzen C., and Policella, N.A generalized timeline representation, services, and interface for automating space mission operations, Proc. of the 12th Int. Conf. on Space Operations, SpaceOps, 2012, Vol. 2, pp. 1160-1176.
4. Herz E. EO and SAR Constellation Imagery Collection Planning, Proceedings of 14-th International Conference on Space Operations, SpaceOps, 2014, AIAA 2014 – 1728.
5. Iacopino C., Harrison S., Brewer A. Mission Planning Systems for Commercial Small-Sat Earth Observation Constellations, Proceedings of the 9th International Workshop on Planning and Scheduling for Space (IWPSS), 2015, pp. 45-52.
6. Maillard A., Pralet C., Jaubert J., Sebbag I., Fontanari F., and Hermitte J. Ground and board decision-making on data downloads, Proceedings of 25th International Conference on Automated Planning and Scheduling, 2015, pp. 273-281.
7. Lenzen C., Woerle M., Gottfert T., Mrowka F., Wickler M. Onboard Planning and Scheduling Autonomy within in Fire Bird Mission, Proc. of the 14-th International Conference on Space Operations, SpaceOps, 2014, AIAA 2014 – 1759.
8. Herz E., George D., Esposito T., Center K. Onboard Autonomous Planning System, Proceedings of the 14-th International Conference on Space Operations, SpaceOps, 2014, AIAA 2014 – 1783.
9. Kennedy A., Marinan A., Cahoy K., Byrne J., Cordeiro T., Decker Z., Marlow W., Shea S., Blackwell W., DiLiberto M., Leslie R.V., Osaretin I., Thompson E., Dishop R. Automated Resource-Constrained Science Planning for the MiRaTA Mission, Proceedings of the AIAA/USU Conference on Small Satellites, 2015, SSC15-6-37.
10. Karsaev O.V. Obzor traditsionnykh i innovatsionnykh sistem planirovaniya missiy kosmicheskikh apparatov [A review of traditional and innovative planning systems of spacecraft missions], Trudy SPIIRAN [SPIIRAS Proceedings], 2016, No. 5 (48), pp. 151-182.
11. Wörle M.T., Lenzen C., Göttfert T., Spörl A., Grishechkin B., Mrowka F., Wickler M. The Incremental Planning System – GSOC’s Next Generation Mission Planning Framework, Proceedings of the 14-th International Conference on Space Operations, SpaceOps AIAA, 2014, AIAA 2014-1785.
12. Gottfert T., Lenzen C., Wörle M.T., Mrowka F., Wickler M. Robust Commanding, Proceedings of the 14-th International Conference on Space Operations, SpaceOps AIAA, 2014, AIAA 2014-1808.
13. Araniti G., Bezirgiannidis N., Birrane E., Bisio I., Burleigh S., Caini C., Feldmann M., Marchese M., Segui J., and Suzuki. Contact Graph Routing in DTN Space Networks: Overview, Enhancements and Performance, IEEE Communication Magazine, March 2015, pp. 38-46.
14. Fraire J.A., Madoery P., Burleigh S., Feldmann M., Finochietto J., Charif A., Zergainoh N., and Velazco1 R. Assessing Contact Graph Routing Performance and Reliability in Distributed Satellite Constellations, Journal of Computer Networks and Communications, Volume 2017, Article ID 2830542, pp. 1-18.
15. Hanson J., Sanchez H., Oyadomari K. The EDSN Intersatellite Communications Architecture, Proceedings of the AIAA/USU Conference on Small Satellites, 2014, SSC14-WS1.
16. Chartres J., Sanchez H., Hanson J. EDSN Development Lessons Learned, Proceedings of the AIAA/USU Conference on Small Satellites, 2014, SSC14-VI-7.
17. Available at: https://en.wikipedia.org/wiki/Edison_Demonstration_of_Smallsat_Networks.
18. Sollogub A.V., Skobelev P.O., Simonova E.V., Tsarev A.V., Stepanov M.E., Zhilyaev A.A. Intellektual'naya sistema raspredelennogo upravleniya gruppovymi operatsiyami klastera malorazmernykh kosmicheskikh apparatov v zadachakh distantsionnogo zondirovaniya Zemli [Intelligent system of distributed management of group operations of the small sat cluster in the tasks of remote sensing of the Earth], Informatsionno-upravlyayushchie sistemy [Information and Control System], 2013, No. 1, pp. 16-26.
19. van der Horst J., Noble J. Task allocation in networks of satellites with Keplerian dynamics, Acta Futura 5, 2012, pp. 143-151.
20. Available at: https://en.wikipedia.org/wiki/Gossip_protocol.