DocumentCode
2479226
Title
Adaptive control of hypersonic vehicles in the presence of modeling uncertainties
Author
Gibson, Travis E. ; Crespo, Luis G. ; Annaswamy, Anuradha M.
Author_Institution
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
3178
Lastpage
3183
Abstract
This paper proposes an adaptive controller for a hypersonic cruise vehicle subject to aerodynamic uncertainties, center-of-gravity movements, actuator saturation, failures, and time-delays. The adaptive control architecture is based on a linearized model of the underlying rigid body dynamics and explicitly accommodates for all uncertainties. It also includes a baseline proportional integral filter commonly used in optimal control designs. The control design is validated using a high-fidelity HSV model that incorporates various effects including coupling between structural modes and aerodynamics, and thrust pitch coupling. An elaborate comparative analysis of the proposed Adaptive Robust Controller for Hypersonic Vehicles (ARCH) is carried out using a control verification methodology. In particular, we study the resilience of the controller to the uncertainties mentioned above for a set of closed-loop requirements that prevent excessive structural loading, poor tracking performance and engine stalls. This analysis enables the quantification of the improvements that result from using and adaptive controller for a typical maneuver in the V - h space under cruise conditions.
Keywords
adaptive control; aerodynamics; aircraft; aircraft control; closed loop systems; optimal control; robust control; actuator saturation; adaptive control; aerodynamic uncertainties; center-of-gravity movements; closed-loop; hypersonic vehicles; optimal control; rigid body dynamics; robust controller; Actuators; Adaptive control; Aerodynamics; Control design; Filters; Optimal control; Programmable control; Robust control; Uncertainty; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160746
Filename
5160746
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