Coordinated Control of Multi-Agent Systems in Rapidly Varying Environments

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNA05AC51C
Agency Tracking Number: 030166
Amount: $599,974.00
Phase: Phase II
Program: STTR
Awards Year: 2005
Solicitation Year: 2003
Solicitation Topic Code: T1.01
Solicitation Number: N/A
Small Business Information
500 West Cummings Park Suite 3000, Woburn, MA, 01801-6580
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Eliot Li
 Principal Investigator
 (781) 933-5355
 eliot@ssci.com
Business Contact
 Robert Simpson
Title: Controller
Phone: (781) 933-5355
Email: accts@ssci.com
Research Institution
 Brigham Young University
 Matthew Maddox
 Office of Research & Creative Activities, A-261 ASB
Provo, UT, 84602
 (801) 422-1461
 Domestic nonprofit research organization
Abstract
The main objective of this Phase II STTR project is to develop advanced control algorithms that enable multiple autonomous agents to perform complex tasks in rapidly changing environment cooperatively. We plan to use the forest fire monitoring mission to demonstrate the benefits of the proposed technology. The mission concept involves using multiple Low Altitude Short Endurance (LASE) Unmanned Aerial Vehicles (UAVs) equipped with camera and wireless communication modem to monitor a forest fire. Advantages of using LASE UAVs for this mission include flexible deployment, capability to collect high resolution imagery data, more frequent data update to the ground crew, and significantly lower cost than existing means (e.g. manned helicopter). Since the fire monitoring mission shares many characteristics of future NASA space exploration or Earth observing missions that require autonomous control of multiple satellite or vehicles, the proposed technology is expected to be applicable in those missions as well. Our technical objectives for this project are: (i) Develop autonomous decentralized cooperative control scheme; (ii) Develop payload driven perimeter tracking algorithms; (iii) Develop autonomous data acquisition and rectification algorithms; (iv) Develop intelligent fleet management algorithm, and (v) Demonstrate the feasibility of the proposed system through flight tests on prototype UAV hardware.

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

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