Fuzzy-Logic Algorithm of UAV Hardware Configuration Assessment for Flight Time and Lift Capacity Improvements

2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) 2017
Gunta Strupka, Anatolijs Ļevčenkovs, Mihails Gorobecs

This paper is based on author's previous research in a field of UAV optimal energy consumption. The article justifies the necessity to keep track of changes of all the parameters in working quadcopters. The hardware selection algorithm and calculations connected with it will be presented as well as a model for choosing a more suitable choice will be offered.

Keywords
Aircraft manufacture, Artificial intelligence, Expert systems, Fuzzy systems, Collision avoidance, Path planning, Logic design, Assembly systems, Energy consumption, unmanned aerial vehicles
DOI
10.1109/RTUCON.2017.8124787
Hyperlink
http://ieeexplore.ieee.org.resursi.rtu.lv/document/8124787/

Strupka, G., Ļevčenkovs, A., Gorobecs, M. Fuzzy-Logic Algorithm of UAV Hardware Configuration Assessment for Flight Time and Lift Capacity Improvements. In: 2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Latvia, Riga, 12-13 October, 2017. Piscataway: IEEE, 2017, pp.1-5. ISBN 978-1-5386-3847-7. e-ISBN 978-1-5386-3846-0. Available from: doi:10.1109/RTUCON.2017.8124787

Publication language
English (en)