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, vol.90, pp.1203-1212, 2018 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 90
  • Publication Date: 2018
  • Doi Number: 10.1108/aeat-06-2017-0157
  • Journal Name: AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1203-1212
  • Keywords: UAVs, Artificial neural network, Flight performance, Optimization approach, DESIGN
  • Erciyes University Affiliated: Yes

Abstract

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.