Date of Award

3-21-2013

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Aeronautics and Astronautics

First Advisor

Christopher L. Martin, PhD.

Abstract

System identification has long been used as a tool for flight test engineers to characterize systems under test; however, the inputs to these characterization activities have previously been limited to wind tunnel and flight test data. There has been a recent effort to incorporate computational fluid dynamics (CFD) into the system identification process. An integral piece of the process is the simulation of training maneuvers utilizing CFD. Up until now, the suitability of particular training maneuvers has been assessed by comparing the reduced model to known results. This research strives to recommend a set of parameters to be used in determining a priori whether a training maneuver will be suitable under a particular set of flow conditions.

AFIT Designator

AFIT-ENY-13-M-28

DTIC Accession Number

ADA580245

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