DocumentCode
2466436
Title
A new state observer and flight control of highly maneuverable aircraft
Author
Xin, Ming ; Balakrishnan, S.N.
Author_Institution
Dept. of Aerosp. Eng., Mississippi State Univ., Starkville, MS, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
5380
Lastpage
5385
Abstract
In this paper, a new nonlinear observer (thetas - D observer) is proposed to estimate the feedback states for optimal control of a highly maneuverable aircraft. This observer is derived by constructing the dual of a recently developed nonlinear optimal control technique-known as the thetas - D technique. The thetas - D optimal control approach provides an approximate closed-form solution to the Hamilton-Jacobi-Bellman (HJB) equation. An optimal flight controller using this technique is designed for a highly maneuverable aircraft operating at high angle of attack where the thetas - D observer is employed to estimate the states for feedback. The structure of this observer is similar to the state dependent Riccati equation filter (SDREF). However, the new method provides a closed-form observer gain and does not need time-consuming online computations of the algebraic Riccati equation at each instant as the SDREF. The theoretical results about this new observer are given. The simulation shows that the thetas - D control and observer exhibit excellent performance for this flight control problem.
Keywords
Jacobian matrices; Riccati equations; aircraft control; control system synthesis; nonlinear control systems; observers; optimal control; state feedback; HJB; Hamilton-Jacobi-Bellman equation; approximate closed-form solution; flight control design; highly maneuverable aircraft; nonlinear observer; nonlinear optimal control; state dependent Riccati equation filter; state estimation; state feedback; state observer; Aerospace control; Aircraft manufacture; Closed-form solution; Filters; Nonlinear equations; Observers; Optimal control; Riccati equations; State estimation; State feedback;
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.2009.5160194
Filename
5160194
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