Detailed Information

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

무추력 비행체를 대상으로 한 적응 통합 유도제어기 설계

Full metadata record
DC Field Value Language
dc.contributor.author김부민-
dc.contributor.author성덕용-
dc.contributor.author김병수-
dc.contributor.author성재민-
dc.date.accessioned2022-12-27T05:49:55Z-
dc.date.available2022-12-27T05:49:55Z-
dc.date.issued2009-
dc.identifier.issn1976-5622-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/27007-
dc.description.abstractThe 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.-
dc.format.extent8-
dc.language한국어-
dc.language.isoKOR-
dc.publisher제어·로봇·시스템학회-
dc.title무추력 비행체를 대상으로 한 적응 통합 유도제어기 설계-
dc.title.alternativeIntegrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation제어.로봇.시스템학회 논문지, v.15, no.1, pp 15 - 22-
dc.citation.title제어.로봇.시스템학회 논문지-
dc.citation.volume15-
dc.citation.number1-
dc.citation.startPage15-
dc.citation.endPage22-
dc.identifier.kciidART001308216-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorbackstepping-
dc.subject.keywordAuthorneural network-
dc.subject.keywordAuthoroutput feedback-
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