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Cooperative Control and Localization of Multiple Spacecraft using a Multi-Agent Mission Operations System
Phone: (808) 772-2851
Phone: (808) 387-4585
Type: Federally Funded R&D Center (FFRDC)
Multi-satellite swarms are becoming 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 Phase-I project contributes to the development and demonstration of a mission operations system for robust, coordinated operation of mobile agent swarms in dynamic environments. Through a collaboration with the University of Hawai`i at Manoa, Intersetel Technologiesrsquo; Comprehensive Open-architecture Solution for Mission Operations Systems (iCOSMOS) will be 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 include (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 a 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 support up to at least 100 simultaneous nodes, end-to-end simulation of 20 satellite nodes in real time or up to at least 1000x realtime, and full visualization of the mission plans before execution. The anticipated results include the software source code for iCOSMOS-Swarm and the results from a baseline benchmark mission with one microsat and 4~8 CubeSats to collect dynamic, multi-dimensional data sets over a wildfire outbreak event through the use of multiple detectors, spread out in time, space and spectrum.
* Information listed above is at the time of submission. *