DocumentCode
622670
Title
A multivariable adaptive reconfigurable control method applied to the wing damaged aircraft
Author
Wang Yao ; Yang Lingyu ; Zhang Jing ; Shen Gongzhang
Author_Institution
Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
fYear
2013
fDate
12-14 June 2013
Firstpage
1828
Lastpage
1833
Abstract
Focusing on the abrupt parameter variation of the aircraft dynamic characteristics brought by the wing damage, a multivariable adaptive reconfigurable control method has been studied. First the nonlinear 6DOF model of structural damaged aircraft is presented. The linearization process and the coupling between the longitudinal and lateral dynamics are studied, and the damaged aircraft dynamic model is denoted as a linear form with uncertain variations. And then the Multivariable Model Reference Adaptive Control (M-MRAC) method is introduced to compensate the abrupt variations in the state matrix, control matrix and the constant uncertainty. Finally NASA Generic Transport Model (GTM) is taken as an example and a typical case of left wing tip with 15% damage is considered. Three-channel attitude simulations are presented through comparing with PID control method. The results illustrate that the impact due to the parameter variations are significantly reduced, and the output tracks the desired trajectories rapidly and stably under uncertain damage.
Keywords
aerodynamics; aerospace components; aircraft control; attitude control; fracture; matrix algebra; model reference adaptive control systems; multivariable control systems; nonlinear control systems; three-term control; vehicle dynamics; GTM; M-MRAC method; NASA generic transport model; PID control method; abrupt parameter variation; abrupt variations; aircraft dynamic characteristics; constant uncertainty; control matrix; damaged aircraft dynamic model; lateral dynamics; left wing tip; linearization process; longitudinal dynamics; multivariable adaptive reconfigurable control method; multivariable model reference adaptive control method; nonlinear 6DOF model; parameter variations; state matrix; structural damaged aircraft; three-channel attitude simulations; uncertain variations; wing damaged aircraft; Adaptation models; Aerodynamics; Aerospace control; Aircraft; Atmospheric modeling; Equations; Mathematical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location
Hangzhou
ISSN
1948-3449
Print_ISBN
978-1-4673-4707-5
Type
conf
DOI
10.1109/ICCA.2013.6565141
Filename
6565141
Link To Document