A Robust Flare Planning Logic for Unmanned Aerial Vehicle Applications

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$599,898.00
Award Year:
2010
Program:
SBIR
Phase:
Phase II
Contract:
NNX10CA01C
Agency Tracking Number:
084093
Solicitation Year:
2008
Solicitation Topic Code:
A1.09
Solicitation Number:
n/a
Small Business Information
Aurora Flight Sciences Corporation
9950 Wakeman Drive, Manassas, VA, 20110-2702
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
604717165
Principal Investigator:
Antonio Abad
Principal Investigator
(617) 500-7048
aabad@aurora.aero
Business Contact:
Scott Hart
Financial Analyst
(617) 500-0536
shart@aurora.aero
Research Institution:
n/a
Abstract
Aurora Flight Sciences proposes to develop a flare planning methodology that would provide aircraft guidance during this critical phase of flight. The algorithms that Aurora seeks to leverage the reachability problem in the fields of Optimal Control and Hybrid Systems, using Rapidly-Exploring Random Trees (RRTs) and Falsification theory. To this end, Aurora proposes the innovation of applying a suitable version of these algorithms to the design of a flare maneuver guidance and planning logic. The planner will be capable of dynamically producing a flare maneuver that does not violate the aircraft flight envelope and other stipulated constraints. The planner will meet the robustness requirements stipulated in the topic solicitation; namely, it will apply to both impeded and unimpeded aircraft, and it will operate under significant weather disturbances. The main technical challenge in developing the planning logic is extending and applying the chosen control algorithms to 6-DOF aircraft dynamics models under the required variety of operating conditions. The ultimate goal of the Phase 2 effort is to demonstrate Aurora's algorithms in an appropriately sophisticated Hardware-in-the-loop simulation of an impaired aircraft during a flare maneuver.

* information listed above is at the time of submission.

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