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신경회로망을 이용한 틸트로터 항공기의 적응 비행제어기 설계 및 비행성 평가

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dc.contributor.author이기영-
dc.contributor.author김병수-
dc.date.accessioned2022-12-27T01:03:38Z-
dc.date.available2022-12-27T01:03:38Z-
dc.date.issued2013-
dc.identifier.issn1225-9705-
dc.identifier.issn2466-1791-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/21272-
dc.description.abstractAn application of adaptive flight controller is required for the non-linear and highuncertain system that configuration of tiltrotor aircraft is dramatically changed from rotarywing mode to fixed wing mode. In this paper, the applicable adaptive controller for thetiltrotor aircraft was designed using Neural Networks and DMI (Dynamic Model Inversion). The performance of the SCAS (Stability and Control Augmentation System) was simulatedagainst manned military specification, using the fullscale model of 'Smart UAV(UnmannedAerial Vehicle)' developed by Korea Aerospace Research Institute. And Neural Networksbased adaptive controller was verified through its whole operating envelope using theestablished HQ (Handling Quality) criteria.-
dc.format.extent8-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국항공운항학회-
dc.title신경회로망을 이용한 틸트로터 항공기의 적응 비행제어기 설계 및 비행성 평가-
dc.title.alternativeNeural Networks Based Adaptive Flight Controller Design and Handling Quality Evaluation for Tiltrotor Aircraft-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국항공운항학회지, v.21, no.3, pp 1 - 8-
dc.citation.title한국항공운항학회지-
dc.citation.volume21-
dc.citation.number3-
dc.citation.startPage1-
dc.citation.endPage8-
dc.identifier.kciidART001811520-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorNeural Networks(신경회로망)-
dc.subject.keywordAuthorTiltrotor Aircraft(틸트로터 항공기)-
dc.subject.keywordAuthorAdaptive Flight Controller(적응 비행제어기)-
dc.subject.keywordAuthorHandling Quality(비행성)-
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공학계열 > 기계항공우주공학부 > Journal Articles

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