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Adaptive Integrated Guidance and Control Design for Automatic Landing of a Fixed Wing Unmanned Aerial Vehicle

Authors
Kim, Boo MinKim, Ji TaeKim, Byoung SooHa, Cheolgun
Issue Date
Oct-2012
Publisher
ASCE-AMER SOC CIVIL ENGINEERS
Keywords
Automatic landing; Neural networks; Output feedback; Backstepping
Citation
JOURNAL OF AEROSPACE ENGINEERING, v.25, no.4, pp 490 - 500
Pages
11
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF AEROSPACE ENGINEERING
Volume
25
Number
4
Start Page
490
End Page
500
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/21987
DOI
10.1061/(ASCE)AS.1943-5525.0000172
ISSN
0893-1321
1943-5525
Abstract
This paper presents an automatic landing control design using adaptive, integrated guidance and control (IGC) logic. The proposed IGC design uses a combination of an adaptive output feedback inversion and backstepping techniques. The problem is formulated as an adaptive output feedback control problem for a line-of-sight-based chasing flight configuration. The design objective is to regulate the relative distance between the aircraft and the moving reference point on a landing pattern and two bearing angles maintaining turn coordination. Adaptive neural networks are trained online with available measurements to compensate for inversion error as a result of unmodeled dynamics and modeling errors of the aircraft in the design process. In addition, a reference command trajectory for the automatic landing control is designed in a way that the aircraft follows the landing pattern regardless of its initial position. The automatic landing system using IGC logic is evaluated using a sophisticated six-degrees-of-freedom nonlinear simulation program with the approach and landing scenario. DOI: 10.1061/(ASCE)AS.1943-5525.0000172. (C) 2012 American Society of Civil Engineers.
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