Date of Award

9-17-2015

Document Type

Thesis

Degree Name

Master of Science in Systems Engineering

Department

Department of Systems Engineering and Management

First Advisor

John M. Colombi, PhD.

Abstract

The current Federal Aviation Administration (FAA) response to stall/spin related accidents is prevention through pilot awareness training and encouraging stall proof aircraft design features. Aircraft have an inherent capability to spin. The controls that influence spin recovery have yet to be quantitatively analyzed in a regression analysis. This thesis presents the regression modeling and validation process for the evaluation of control inputs on the spin recovery of the 8KCAB Super Decathlon. The regression models in this thesis explore the control inputs for factors of: rudder, elevator, and aileron. Additionally, this thesis explores the timing of the control inputs factors for sequenced as well as simultaneous application. The research presented is of interest to general aviation pilot community with limited exposure to spins and variations of spin recovery methods. Aircraft spins have become taboo and avoided by all but the most experienced pilots and researchers. The research here is focused on the evaluation of control inputs on spin recovery qualities. While this research is limited to the 8KCAB super decathlon type aircraft, the aircraft is a good representation of the general aviation community.

AFIT Designator

AFIT-ENV-MS-15-S-035

DTIC Accession Number

ADA622363

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Aviation Commons

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