You are here

Cooperative Control and Localization of Multiple Spacecraft using a Multi-Agent Mission Operations System

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC20C0313
Agency Tracking Number: 205557
Amount: $124,455.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T4
Solicitation Number: STTR_20_P1
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-08-24
Award End Date (Contract End Date): 2021-09-30
Small Business Information
91-1036 Waiilikahi St.
Ewa Beach, HI 96706-6406
United States
DUNS: 079784200
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Trevor Sorensen
 (808) 772-2851
Business Contact
 Eric Pilger
Title: ejpilger
Phone: (808) 387-4585
Research Institution
 University of Hawaii
2440 Campus Road, Box 368
Honolulu, HI 96822-2234
United States

 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. *

US Flag An Official Website of the United States Government