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신경회로망을 이용한 틸트로터 항공기의 적응 비행제어기 설계 및 비행성 평가Neural Networks Based Adaptive Flight Controller Design and Handling Quality Evaluation for Tiltrotor Aircraft

Other Titles
Neural Networks Based Adaptive Flight Controller Design and Handling Quality Evaluation for Tiltrotor Aircraft
Authors
이기영김병수
Issue Date
2013
Publisher
한국항공운항학회
Keywords
Neural Networks(신경회로망); Tiltrotor Aircraft(틸트로터 항공기); Adaptive Flight Controller(적응 비행제어기); Handling Quality(비행성)
Citation
한국항공운항학회지, v.21, no.3, pp 1 - 8
Pages
8
Indexed
KCI
Journal Title
한국항공운항학회지
Volume
21
Number
3
Start Page
1
End Page
8
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/21272
ISSN
1225-9705
2466-1791
Abstract
An 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.
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공학계열 > 기계항공우주공학부 > Journal Articles

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