Robust Optimization of Mission Effectiveness in Challenging Winds

Award Information
Agency:
Department of Defense
Amount:
$69,891.00
Program:
STTR
Contract:
N00014-09-M-0308
Solitcitation Year:
2009
Solicitation Number:
2009.A
Branch:
Navy
Award Year:
2009
Phase:
Phase I
Agency Tracking Number:
N09A-025-0036
Solicitation Topic Code:
N09-T025
Small Business Information
Mosaic ATM, Inc.
801 Sycolin Road, Suite 212, Leesburg, VA, 20175
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
164558376
Principal Investigator
 Brian Capozzi
 Principal Analyst
 (800) 405-8576
 bcapozzi@mosaicatm.com
Business Contact
 Chris Stevenson
Title: Business Manager
Phone: (800) 405-8576
Email: stevenson@mosaicatm.com
Research Institution
 University of Minnesota
 J. Krzyzek
 450 McNamara Alumni Center
200 Oak Street S.E.
Minneapolis, MN, 55455
 (612) 624-5599
 Nonprofit college or university
Abstract
Due to their relatively small size, small, tactical unmanned air vehicles (UAVs) are capable of flying close to and providing observation/tracking of targets, with relatively small chance of being seen or heard. However, their small size and achievable speeds increases their sensitivity to the effects of atmospheric disturbances such as winds. This increased sensitivity can lead to a significant degradation in their ability to prosecute a given mission or, worse yet, the potential for vehicle upset and loss. The bottom line to the UAV customer in these situations is loss of their “eyes on target” and potential increased risk to forces on the ground. Most operations of UAVs today are forced to make a trade-off between mission effectiveness, maintained by fighting the disturbance, and energy extraction, which is often done by “giving in” to the disturbance at the expense of the mission. However, this trade-off does not have to be a zero-sum game. Wind provides a ubiquitous source of potential energy to enhance UAV flights. Through the research proposed herein, the Mosaic ATM team will create sensor processing and control algorithms that leverage wind energy with consideration of the objectives of the mission to maintain mission effectiveness while increasing endurance.

* information listed above is at the time of submission.

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