Calibration of Flush Air Data Sensing Systems Using Surrogate Modeling Techniques

Calibration of Flush Air Data Sensing Systems Using Surrogate Modeling Techniques

In this work the problem of calibrating Flush Air Data Sensing (FADS) has been addressed. The inverse problem of extracting freestream wind speed and angle of attack from pressure measurements has been solved. The aim of this work was to develop machine learning and statistical tools to optimize des...

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Bibliographic Details
Other Authors: Meade, Andrew J., Jr.
Format: Others
Language:English
Published: 2013
Subjects:
Applied sciences
Flush air data sensing
Surrogate modeling
Radial basis functions
Scattered data approximation
Mechanical engineering
Online Access:http://hdl.handle.net/1911/70450

Internet

http://hdl.handle.net/1911/70450

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