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Numerical Analysis of Solar Panel Effects on UAVs Aerodynamics and Stability

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Adding solar panels over the wing deforms the airfoil shape. Hence, the aerodynamic and stability performance are changed. By changing the aerodynamic performance, the range of aircraft changes considerably, which is of crucial importance for the Solar Powered Unmanned Aerial Vehicles because it glides most of the night hours. This paper aims to evaluate the impact of adding solar panels, over the wing of an unmanned aerial vehicle, using vortex panel method. The aerodynamic performance is analyzed in terms of lift, drag, and moment coefficients. The aircraft stability is quantified in terms of natural frequencies and damping ratios of the stability modes.

Original languageEnglish
Title of host publicationNILES 2022 - 4th Novel Intelligent and Leading Emerging Sciences Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages147-150
Number of pages4
ISBN (Electronic)9781665452410
DOIs
StatePublished - 2022
Externally publishedYes
Event4th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2022 - Giza, Egypt
Duration: 22 Oct 202224 Oct 2022

Publication series

NameNILES 2022 - 4th Novel Intelligent and Leading Emerging Sciences Conference, Proceedings

Conference

Conference4th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2022
Country/TerritoryEgypt
CityGiza
Period22/10/2224/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • SPUAV
  • Solar panel
  • UAV
  • VLM
  • aerodynamics
  • aircraft
  • stability
  • vortex method

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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