Neural network based redesign of morphing UAV for simultaneous improvement of roll stability and maximum lift/drag ratio
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, cilt.90, ss.1203-1212, 2018 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 90
- Basım Tarihi: 2018
- Doi Numarası: 10.1108/aeat-06-2017-0157
- Dergi Adı: AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1203-1212
- Anahtar Kelimeler: UAVs, Artificial neural network, Flight performance, Optimization approach
- Erciyes Üniversitesi Adresli: Evet
Özet
Purpose The aim of this paper is to redesign of morphing unmanned aerial vehicle (UAV) using neural network for simultaneous improvement of roll stability coefficient and maximum lift/drag ratio.