Robust Autonomous Maneuvering of Unmanned Air Systems in Challenging Environmental/Weather Conditions for Safety, Mission Effectiveness, and Endurance

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-09-M-0309
Agency Tracking Number: N09A-025-0496
Amount: $69,999.00
Phase: Phase I
Program: STTR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: N09-T025
Solicitation Number: 2009.A
Small Business Information
499 Van Brunt St., Ste. 3B, Brooklyn, NY, 11231
DUNS: 112693325
HUBZone Owned: Y
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Anthony Calise
 Senior Scientist
 (610) 539-2671
 acalise@atairaerospace.com
Business Contact
 Stacy Cohen
Title: Acting Sr. VP, Operations
Phone: (718) 923-1709
Email: scohen@atairaerospace.com
Research Institution
 Georgia Institute of Technology
 Paul Hart
 505 10th Street
Atlanta, GA, 30332
 (404) 894-6929
 Nonprofit college or university
Abstract
The objective of this proposal is to develop and demonstrate methods of autonomous guidance and flight control that will permit safer and more effective operation of unmanned air systems under challenging weather conditions, and to exploit to the extent possible utilization of winds and other environmental conditions to increase mission effectiveness. Atair Aerospace has over the past 5 years developed novel and low cost approaches to maintaining stable and accurate trajectory control for guided parafoils operating under adverse wind conditions. Georgia Tech has for many years conducted leading edge research and experimentation in the area of adaptive guidance and adaptive flight control of unmanned aerial vehicles (UAVs). This proposal will combine these areas of expertise to address the Navy problem as described in the subject solicitation. Phase-I will be primarily a simulation effort which will have a three-fold purpose. The first will be to exploit the methods developed at Atair for operating guided parafoils under high wind conditions, but for fixed wing UAV applications. The second will be to incorporate methods of adaptive flight control and energy management to optimize the trajectories of UAVs so as to increase their mission effectiveness, and the third will be to demonstrate these methods at Georgia Tech in a hardware-in-the-loop environment as a precursor to flight testing under a Phase-II effort.

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

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