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
- 이기영; 김병수
- 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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