Vorticity State Estimation For Aeroelastic Control, Phase I

Metadata Updated: May 2, 2019

Flight control, structural reliability, and efficiency depend critically on the ability to assess the time-accurate unsteady aerodynamic loads and moments for each lifting surface under nominal and adverse flow conditions. Tao Systems and California Institute of Technology propose to develop a flow control system that utilizes advanced sensors and a vorticity state estimator (VSE) to reach flow states unattainable without continuous control feedback. The flow control scheme enables manipulation of the vorticity state to achieve performance objectives, such as short take-off/landing through controlled aerodynamic lift at angles of attack near stall.

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

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Dates

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_10428
Maintainer
TECHPORT SUPPORT
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 47c99164-0625-4828-8736-e3dbe42ca337
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2013-02-01
Homepage URL https://techport.nasa.gov/view/10428
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 c4cbaec27850514dc1c6b33093d080d6a758b5d4
Source Schema Version 1.1

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