Path planning of UAV based on fluid computing via accelerated method

This paper presents our study on the method for planning the path for low-flying unmanned aerial vehicle (UAV) in complex terrain based on the theory of fluid flow. First, the 2D terrain map is generated using hill algorithm. Then the fluid field distribution is computed using fluid mechanics to est...

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主要な著者: Shaliza Hayati A. Wahab, Ali Chekima, Nordin Saad, Azali Saudi
フォーマット: 論文
言語:English
English
出版事項: Seventh Sense Research Group 2020
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オンライン・アクセス:https://eprints.ums.edu.my/id/eprint/27003/1/Path%20planning%20of%20UAV%20based%20on%20fluid%20computing%20via%20accelerated%20method-Abstract.pdf
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spelling my.ums.eprints.270032021-05-27T02:11:25Z https://eprints.ums.edu.my/id/eprint/27003/ Path planning of UAV based on fluid computing via accelerated method Shaliza Hayati A. Wahab Ali Chekima Nordin Saad Azali Saudi T Technology (General) This paper presents our study on the method for planning the path for low-flying unmanned aerial vehicle (UAV) in complex terrain based on the theory of fluid flow. First, the 2D terrain map is generated using hill algorithm. Then the fluid field distribution is computed using fluid mechanics to establish streamlines in the field. These streamlines are then used as flight paths for UAV. In fluid mechanics, Laplace's equation is used as the controlling equation of the potential flow. The solutions of Laplace's equation can be solved using finite difference method. Existing methods are slow in computing the solutions for generating UAVs flight path. Hence, they are not suitable for real-time processing. In this paper, an efficient iterative method namely Two-Parameter Overrelaxation (TOR) method that employ an acceleration parameter is proposed. The efficiency of this approach is shown by comparing its performance with the previous methods. It was shown that the proposed TOR method outperformed the previous methods. Seventh Sense Research Group 2020-10 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/27003/1/Path%20planning%20of%20UAV%20based%20on%20fluid%20computing%20via%20accelerated%20method-Abstract.pdf text en https://eprints.ums.edu.my/id/eprint/27003/2/Path%20planning%20of%20UAV%20based%20on%20fluid%20computing%20via%20accelerated%20method.pdf Shaliza Hayati A. Wahab and Ali Chekima and Nordin Saad and Azali Saudi (2020) Path planning of UAV based on fluid computing via accelerated method. International Journal of Engineering Trends and Technology, 1. pp. 76-80. ISSN 2231-5381 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099308138&origin=inward
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Shaliza Hayati A. Wahab
Ali Chekima
Nordin Saad
Azali Saudi
Path planning of UAV based on fluid computing via accelerated method
description This paper presents our study on the method for planning the path for low-flying unmanned aerial vehicle (UAV) in complex terrain based on the theory of fluid flow. First, the 2D terrain map is generated using hill algorithm. Then the fluid field distribution is computed using fluid mechanics to establish streamlines in the field. These streamlines are then used as flight paths for UAV. In fluid mechanics, Laplace's equation is used as the controlling equation of the potential flow. The solutions of Laplace's equation can be solved using finite difference method. Existing methods are slow in computing the solutions for generating UAVs flight path. Hence, they are not suitable for real-time processing. In this paper, an efficient iterative method namely Two-Parameter Overrelaxation (TOR) method that employ an acceleration parameter is proposed. The efficiency of this approach is shown by comparing its performance with the previous methods. It was shown that the proposed TOR method outperformed the previous methods.
format Article
author Shaliza Hayati A. Wahab
Ali Chekima
Nordin Saad
Azali Saudi
author_facet Shaliza Hayati A. Wahab
Ali Chekima
Nordin Saad
Azali Saudi
author_sort Shaliza Hayati A. Wahab
title Path planning of UAV based on fluid computing via accelerated method
title_short Path planning of UAV based on fluid computing via accelerated method
title_full Path planning of UAV based on fluid computing via accelerated method
title_fullStr Path planning of UAV based on fluid computing via accelerated method
title_full_unstemmed Path planning of UAV based on fluid computing via accelerated method
title_sort path planning of uav based on fluid computing via accelerated method
publisher Seventh Sense Research Group
publishDate 2020
url https://eprints.ums.edu.my/id/eprint/27003/1/Path%20planning%20of%20UAV%20based%20on%20fluid%20computing%20via%20accelerated%20method-Abstract.pdf
https://eprints.ums.edu.my/id/eprint/27003/2/Path%20planning%20of%20UAV%20based%20on%20fluid%20computing%20via%20accelerated%20method.pdf
https://eprints.ums.edu.my/id/eprint/27003/
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099308138&origin=inward
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score 13.251813