Abstract
Multi-satellite swarms are becoming very popular due to their low costs and short development time. Instead of large and costly monolithic satellites, small satellite swarms can be flown as distributed sensing applications for atmospheric sampling, distributed antennas, synthetic apertures among other exciting applications, delivering an even greater mission capability. This paper reports on the results of a NASA STTR Phase-I project that contributes to the development and demonstration of a mission operations system for robust, coordinated operation of mobile agent swarms in dynamic environments with a high degree of autonomy. Through a collaboration with the University of Hawai’i at Mānoa, Interstel Technologies’ Comprehensive Open-architecture Solution for Mission Operations Systems (iCOSMOS™) is being enhanced to coordinate and control swarms of space vehicles and other assets. The proposed iCOSMOS-Swarm™ will enable motion planning for large numbers of agents in densely crowded areas and robust position estimation with built-in cooperative localization. The major tasks for Phase-I included (1) the development of a scalable multi-agent coordination module to coordinate large agent swarms, a multi-nodal software architecture for diverse (heterogeneous) assets, and hierarchical cooperative localization module for robust inter-agent positioning, (2) enhanced system performance with improved data handling and nodal message passing and dynamic system configuration for node addition and removal, and (3) significantly enhanced simulation capabilities to eventually support up to at least 100 simultaneous nodes and end-to-end simulation of five satellite nodes in real time or up to at least 1000x real time. The results for Phase-I include the design of the iCOSMOS-Swarm™ product and the verification of the methodology using simulation results from a baseline benchmark mission with one microsat and four CubeSats to collect dynamic, multi-dimensional data sets over a wildfire outbreak or similar event through the use of multiple detectors, spread out in time, space, and spectrum.
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References
Sorensen, T.C., Pilger, E.J., Wood, M.S., Nunes, M.A., Yost, B.D.: A university-developed Comprehensive Open-architecture Space Mission Operations System (COSMOS) to operate multiple space vehicles. In SpaceOps: Conference, p. 2013. Stockholm, Sweden (2012, Mar)
Sorensen, T., Pilger, E., Yost, B., Nunes, M., Differding, J.: Plug and play mission operations. In: 2012 IEEE Aerospace Conference, pp. 1–13 (2012)
Sorensen, T.C., Pilger, E.J., Wood, M.S., Nunes, M.A., Yoneshige, L.K.: Mission design and operations of a constellation of small satellites for remote sensing. SPIE Proc. 8739, 873906 (2013)
Sorensen, T., Pilger, E., Wood, M., Nunes, M., Garbeil, H., Wessel, E., Kruzelecky, R., Jamroz, W.: Adapting an open-architecture mission operations system for a Lunar rover mission. In: 63rd International Astronautical Congress, Naples, Italy (January 2012)
Sorensen, T.C., Pilger, E.J., Wood, M.S., Nunes, M.A., Yost, B.D.: Development of a comprehensive mission operations system designed to operate multiple small satellites. In: AIAA/USU Conference on Small Satellites, January 2011
Monaghan, J.J.: Smoothed particle hydrodynamics. Rep. Prog. Phys. 68(8), 1703 (2005)
Reynolds, C.W.: Flocks, herds and schools: a distributed behavioral model. In: Proceedings of the 4th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), vol. 21, pp. 25–34, New York, NY, USA. ACM (1987)
Song, Z., Lipinski, D., Mohseni, K.: Multi-vehicle cooperation and nearly fuel-optimal flock guidance in strong background flows. Ocean Eng. 141, 388–404 (2017)
Silic, M.B., Song, Z., Mohseni, K.: Anisotropic flocking control of distributed multi-agent systems using fluid abstraction. In: AIAA Information Systems-AIAA Infotech @ Aerospace, Jan 2018
Song, Z., Mohseni, K.: Hierarchical underwater localization in dominating background flow fields. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3356–3361, Tokyo, Japan (2013)
Song, Z., Mohseni, K.: A distributed localization hierarchy for an AUV swarm. In: Proceedings of the American Control Conference (ACC), pp. 4721–4726 (June 2014)
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Sorensen, T. et al. (2024). Initial Development of Cooperative Control and Localization of Multiple Spacecraft Using a Multi-Agent Mission Operations System. In: Azimov, D. (eds) Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023. IUTAM 2023. IUTAM Bookseries, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-031-39303-7_22
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DOI: https://doi.org/10.1007/978-3-031-39303-7_22
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