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High-alpha flight maneuverability enhancement of a fighter aircraft using thrust-vectoring control
Date
2007-09-01
Author
Atesoglu, Oezguer
Oezgoeren, M. Kemal
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This study focuses on high-alpha flight maneuverability enhancement of a fighter-bomber aircraft for air combat superiority using thrust-vectoring control. Two basic air superiority maneuvers are studied as test cases, which are the Cobra maneuver with longitudinal motion and the Herbst maneuver with both longitudinal and lateral motions. The necessary mathematical models are built to describe the nonlinear 6-degree-of-freedom flight dynamics, the nonlinear aerodynamics, the engine, and the thrust-vectoring paddles of the aircraft. High-alpha aerodynamics of the aircraft is studied and the integrated Bihrle-Weissmann chart is plotted to determine the stall effected regions. The method employed to control the aircraft is based on feedback linearization with nonlinear dynamic inversion. Both of the test case maneuvers are simulated with two control modes using aerodynamic control only and thrust-vectoring control only. Then the performances of these control modes are compared. This study demonstrates that an additional thrust-vectoring control system integrated to the conventional aerodynamic flight control system of a fighter aircraft turns out to be highly effective in increasing its high-alpha maneuvering capability.
Subject Keywords
Control and Systems Engineering
,
Space and Planetary Science
,
Electrical and Electronic Engineering
,
Applied Mathematics
,
Aerospace Engineering
URI
https://hdl.handle.net/11511/65316
Journal
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
DOI
https://doi.org/10.2514/1.28620
Collections
Department of Mechanical Engineering, Article
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O. Atesoglu and M. K. Oezgoeren, “High-alpha flight maneuverability enhancement of a fighter aircraft using thrust-vectoring control,”
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
, pp. 1480–1493, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65316.