Guidance solutions for multiple vehicle assembly
This paper exploits the guidance algorithms to assembly multiple vehicle in close proximity. The objective is to move each vehicle in the assembly to its final location. The guidance laws are determined such that, each vehicle should attract to the others on long distances and avoid collision wit...
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Trans Tech Publications, Switzerland
2014
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iium-384032014-09-24T08:43:54Z http://irep.iium.edu.my/38403/ Guidance solutions for multiple vehicle assembly Okasha, Mohamed Elsayed Aly Abd Elaziz TA174 Engineering design TJ212 Control engineering This paper exploits the guidance algorithms to assembly multiple vehicle in close proximity. The objective is to move each vehicle in the assembly to its final location. The guidance laws are determined such that, each vehicle should attract to the others on long distances and avoid collision with them in short distances. These laws are based on Lyapunov’s second method that utilize the potential function theory to insure the stability of the assembly process. Numerical investigations were performed for different configurations of the assembly. The proposed algorithms may prove useful for future mission applications such as satellite formation flying, structures assembly in space and mobile robots control. Trans Tech Publications, Switzerland 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38403/1/AMR.1016.797.pdf Okasha, Mohamed Elsayed Aly Abd Elaziz (2014) Guidance solutions for multiple vehicle assembly. Advanced Materials Research, 1016. pp. 797-801. ISSN 1022-6680 http://www.scientific.net/AMR 10.4028/www.scientific.net/AMR.1016.797 |
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Digital Repository |
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Local University |
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International Islamic University Malaysia |
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IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TA174 Engineering design TJ212 Control engineering |
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TA174 Engineering design TJ212 Control engineering Okasha, Mohamed Elsayed Aly Abd Elaziz Guidance solutions for multiple vehicle assembly |
description |
This paper exploits the guidance algorithms to assembly multiple vehicle in close
proximity. The objective is to move each vehicle in the assembly to its final location. The guidance
laws are determined such that, each vehicle should attract to the others on long distances and avoid
collision with them in short distances. These laws are based on Lyapunov’s second method that
utilize the potential function theory to insure the stability of the assembly process. Numerical
investigations were performed for different configurations of the assembly. The proposed algorithms
may prove useful for future mission applications such as satellite formation flying, structures
assembly in space and mobile robots control. |
format |
Article |
author |
Okasha, Mohamed Elsayed Aly Abd Elaziz |
author_facet |
Okasha, Mohamed Elsayed Aly Abd Elaziz |
author_sort |
Okasha, Mohamed Elsayed Aly Abd Elaziz |
title |
Guidance solutions for multiple vehicle assembly |
title_short |
Guidance solutions for multiple vehicle assembly |
title_full |
Guidance solutions for multiple vehicle assembly |
title_fullStr |
Guidance solutions for multiple vehicle assembly |
title_full_unstemmed |
Guidance solutions for multiple vehicle assembly |
title_sort |
guidance solutions for multiple vehicle assembly |
publisher |
Trans Tech Publications, Switzerland |
publishDate |
2014 |
url |
http://irep.iium.edu.my/38403/ http://irep.iium.edu.my/38403/ http://irep.iium.edu.my/38403/ http://irep.iium.edu.my/38403/1/AMR.1016.797.pdf |
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2023-09-18T20:55:10Z |
last_indexed |
2023-09-18T20:55:10Z |
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1777410255985049600 |