Please use this identifier to cite or link to this item: https://doi.org/10.1243/09544100JAERO113
Title: Design of small-scale quadrotor unmanned air vehicles using genetic algorithms
Authors: Ng, T.T.H. 
Leng, G.S.B. 
Keywords: Design optimization
Genetic algorithms
Unmanned air vehicle
Issue Date: 2007
Source: Ng, T.T.H., Leng, G.S.B. (2007). Design of small-scale quadrotor unmanned air vehicles using genetic algorithms. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 221 (5) : 893-905. ScholarBank@NUS Repository. https://doi.org/10.1243/09544100JAERO113
Abstract: In the current paper, a new design methodology was proposed to automate the component selection, layout design and geometric sizing of small-scale quadrotor unmanned air vehicles (UAVs). Instead of using the swash plate mechanism employed in most rotary-wing flight vehicle, the UAV was controlled by four fixed-pitch rotors/propellers. The objective of this design optimization problem is to select the most suitable set of components from a range of commercial-off-the-shelf products, and organize the vehicle components/payloads, such that the resulting flight vehicle has the most compact overall size without violating any given physical or mission constraint. Genetic algorithms are employed as the optimization engine because of their proven results. © IMechE 2007.
Source Title: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/59870
ISSN: 09544100
DOI: 10.1243/09544100JAERO113
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

7
checked on Nov 22, 2017

Page view(s)

22
checked on Dec 18, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.