Optimized Lift for Autonomous Formation Flight

Metadata Updated: May 2, 2019

Experimental in-flight evaluations have demonstrated that the concept of formation flight can reduce fuel consumption of trailing aircraft by 10 percent. Armstrong researchers have developed a peak-seeking control algorithm that can increase this efficiency by another 2 percent. The innovation works by optimizing, in real time, the lift distribution across the wing of an airplane flying within the wingtip vortex of another airplane. Conventional trim schedules use anti-symmetric (equal but opposite between the left and right wings) aileron deflections to counter roll asymmetries and keep the wings level. In formation flight, however, this approach can [HTML_REMOVED]dump[HTML_REMOVED] lift near the wingtip where the vortex effects are greatest, reducing the amount of benefit gained. The peak-seeking solution instead uses all available control surfaces across the span of the wing (including wing flaps used for landing) as required to find the best solution to maintain trimmed flight within the vortex.Work to date: The research team has developed a multi-vehicle transport-class aircraft simulation that includes probabilistic models of the wind-drift and descent of aircraft wakes, the aerodynamic interference effects of wingtip vortices on other aircraft, and formation guidance and control laws. The team has also developed a roadmap for the maturation of formation flight technology to Cooperative Trajectory operations; that is, commercial transport aircraft operations at extended distances of 1-2 nautical miles.Looking ahead: The group is developing a flight experiment to demonstrate drag reduction through cooperative trajectories using commercial, off-the-shelf avionics systems, including ADS-B data link technology. The experiment is expected to fly in 2015.BenefitsEfficient: Improves fuel savings in formation flight by an additional 2 percentEconomical: Achieves objectives with existing control surfacesSaves time: Allows airplanes to fly closer together, reducing airspace congestionApplicationsReduced cost for commercial passenger and cargo aircraft operationsExtended range for military aircraftMore efficient multi-vehicle, cooperative applications for drone aircraft

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_14507
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Datagov Dedupe Retained 20190501230127
Harvest Object Id 7b177518-1cb2-4c12-9cfd-bd6f0ac92517
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2018-06-26
Homepage URL https://techport.nasa.gov/view/14507
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 4ad8bad8a6c34b730991094258dbeca824431925
Source Schema Version 1.1

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