Neural network based redesign of morphing UAV for simultaneous improvement of roll stability and maximum lift/drag ratio

Oktay T., Arık S., Türkmen I., Uzun M., Celık H.

AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, cilt.90, ss.1203-1212, 2018 (SCI-Expanded) identifier

  • 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, DESIGN
  • 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.