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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: 80NSSC22CA021
Agency Tracking Number: 205557
Amount: $759,834.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T4
Solicitation Number: STTR_20_P2
Timeline
Solicitation Year: 2020
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-03-21
Award End Date (Contract End Date): 2024-03-20
Small Business Information
91-1036 Waiilikahi Street
Ewa Beach, HI 96706-6406
United States
DUNS: 709784200
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Trevor Sorensen
 (808) 772-2851
 trevor.sorensen@interstel.tech
Business Contact
 Miguel Nunes
Title: ejpilger
Phone: (808) 388-1176
Email: miguel.nunes@interstel.tech
Research Institution
 University of Hawaii at Manoa
 
2500 Campus Road
Honolulu, HI 96822-0000
United States

 Federally Funded R&D Center (FFRDC)
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 platforms for atmospheric sampling, distributed antennas, and synthetic apertures among other exciting applications, delivering an even greater mission capability. This project contributes to the development and demonstration of a mission operations system for robust, coordinated operation of mobile agent swarms in dynamic space environments. Through a collaboration with the University of Hawai`i at Manoa, Interstel 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 systematic motion planning, robust state estimation, and coordination for multiple agents.nbsp;The major tasks include (1) the development of a scalable multi-agent coordination module to coordinate, control, and guide a large agent swarms, a multi-nodal software architecture for diverse (heterogeneous) assets, and a multi-agent state estimationnbsp; module for robust navigation, (2) enhanced system performance with improved data handling and synthesis, message passing and dynamic nodal configuration, and (3) significantly enhanced simulation capabilities to support up to dozens of simultaneous nodes, end-to-end simulation of 20 satellite nodes in real time or up to 1000x real time or more, 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 missions with one microsat and 4 CubeSats to collect dynamic, multi-dimensional data sets over a wildfire outbreak or similar events through the use of multiple detectors, spread out in time, space and spectrum.

* Information listed above is at the time of submission. *

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