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...
| Other Authors: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1911/70450 |