Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

무추력 비행체를 대상으로 한 적응 통합 유도제어기 설계Integrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle

Other Titles
Integrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle
Authors
김부민성덕용김병수성재민
Issue Date
2009
Publisher
제어·로봇·시스템학회
Keywords
backstepping; neural network; output feedback
Citation
제어.로봇.시스템학회 논문지, v.15, no.1, pp 15 - 22
Pages
8
Indexed
SCOPUS
KCI
Journal Title
제어.로봇.시스템학회 논문지
Volume
15
Number
1
Start Page
15
End Page
22
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/27007
ISSN
1976-5622
Abstract
The guidance controller of the conventional aircraft consists of inner-loop (autopilot) and outer-loop (guidance). If the guidance controller can be designed as an integrated guidance and control (IGC), the various advantages exist. The integrated guidance and control formulation can compensate for the effect of autopilot lag. An integrated approach also helps avoid the iterative procedure involved in tuning the guidance and autopilot subsystems, if designed separately. Integrated design is also less susceptible to saturation and stability problems. This paper presents an approach to IGC design for the unpowered air vehicle with the only flaperon using a combination of adaptive output feedback inversion and backstepping techniques. Adaptive neural networks are trained online with available measurements to compensate for unmodeled nonlinearities in the design process.
Files in This Item
There are no files associated with this item.
Appears in
Collections
공학계열 > 기계항공우주공학부 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE